| 1 | Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner | Dothang Truong | 2024 | Chapman and Hall/CRC | |
| 2 | Ultimate Parallel and Distributed Computing with Julia for Data Science: Excel in Data Analysis, Statistical Modeling and Machine Learning by Leveraging MLBase. jl and MLJ. jl to Optimize Workflows | Nabanita Dash | 2024 | Orange Education PVT Ltd | |
| 3 | Graph Algorithms for Data Science: With examples in Neo4j | Tomaž Bratanic | 2024 | Manning Publications | |
| 4 | Foundations of Data Science with Python | John M. Shea | 2024 | | |
| 5 | Calculus for Data Science | ???d?n V?n D?r ??st, Vin??nt ?is?tt? | 2024 | Reactive Publishing | |
| 6 | Principles of Data Science: A beginner's guide to essential math and coding skills for data fluency and machine learning | Sinan Ozdemir | 2024 | Packt Publishing Pvt Ltd | |
| 7 | Rust Fundamentals for Data Science: An Introductory Guide For Data Science | Strauss, Johann; Van Der Post, Hayden | 2024 | Reactive Publishing | |
| 8 | Bioinformatics: Algorithms, Coding, Data Science and Biostatistics | Rob Botwright | 2024 | Independently Published | |
| 9 | Cracking the Data Science Interview: Unlock insider tips from industry experts to master the data science field | Leondra R. Gonzalez | Aaren Stubberfi eld | 2024 | Packt Publishing Limited | |
| 10 | Graph Algorithms for Data Science: With examples in Neo4j | Tomaz Bratanic | 2024 | Manning Publications Co. | |
| 11 | Data Science and Network Engineering: Proceedings of ICDSNE 2023 | Suyel Namasudra, Munesh Chandra Trivedi, Ruben Gonzalez Crespo, Pascal Lorenz | 2024 | Springer Singapore | |
| 12 | Data Science and Network Engineering: Proceedings of ICDSNE 2023 | Suyel Namasudra; Munesh Chandra Trivedi; Ruben Gonzalez Crespo; Pascal Lorenz | 2024 | Springer Singapore | |
| 13 | Python for Absolute Beginners: The Ultimate Beginner's Guide to Learn Python Programming with Extensive Coverage on Data Science | BONA AKUBUE | 2024 | Independently Published | |
| 14 | Econometric Python: Harnessing Data Science for Economic Analysis | Hayden Van Der Post | 2024 | Independently Published | |
| 15 | Artificial Intelligence, Data Science and Applications: ICAISE’2023, Volume 2 (Lecture Notes in Networks and Systems, 838) | Yousef Farhaoui (editor), Amir Hussain (editor), Tanzila Saba (editor), Hamed Taherdoost (editor), Anshul Verma (editor) | 2024 | Springer | |
| 16 | Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions | Matt Taddy | 2024 | McGraw Hill | |
| 17 | Graph Data Science with Python and Neo4j: Hands-on Projects on Python and Neo4j Integration for Data Visualization and Analysis Using Graph Data Science for Building Enterprise Strategies | Timothy Eastridge | 2024 | Orange Education Pvt Ltd, AVA™ | |
| 18 | Python Scikit and Python Booleans for Beginners: A Step-By-Step Guide to Data Science Mastery - 2 Books in 1 | JP PARKER | 2024 | Independently Published | |
| 19 | Data Science and Applications: Proceedings of ICDSA 2023, Volume 1 (Lecture Notes in Networks and Systems, 818) | Satyasai Jagannath Nanda (editor), Rajendra Prasad Yadav (editor), Amir H. Gandomi (editor), Mukesh Saraswat (editor) | 2024 | Springer | |
| 20 | Data Science—Analytics and Applications: Proceedings of the 5th International Data Science Conference—iDSC2023 | Peter Haber (editor), Thomas J. Lampoltshammer (editor), Manfred Mayr (editor) | 2024 | Springer | |
| 21 | Data Science of Renewable Energy Integration: The Nexus of Energy, Environment, and Economic Growth (Evolutionary Economics and Social Complexity Science, 30) | Yuichi Ikeda | 2024 | Springer | |
| 22 | Data Science With Rust: A Comprehensive Guide - Data Analysis, Machine Learning, Data Visualization & More | Van Der Post, Hayden | 2024 | Reactive Publishing | |
| 23 | From Concepts to Code: Introduction to Data Science | Adam Tashman | 2024 | CRC Pressr | |
| 24 | Principles of Data Science: A beginner's guide to essential math and coding skills for data fluency and machine learning | Sinan Ozdemir | 2024 | Packt Publishing Pvt Ltd | |
| 25 | Profound Python Data Science | Önder Teker | 2024 | Independently Published | |
| 26 | Big Data and Data Science Engineering: Volume 6 (Studies in Computational Intelligence, 1139) | Roger Lee (editor) | 2024 | Springer | |
| 27 | Big Data and Data Science Engineering: Volume 6 (Studies in Computational Intelligence, 1139) | Roger Lee (editor) | 2024 | Springer | |
| 28 | Data Science Fundamentals with R, Python, and Open Data | Marco Cremonini | 2024 | WILEY | |
| 29 | Data Science and Analysis Guide for Beginners: 2 in 1 Guide. A Beginner's Journey into the Essentials of Data Science and Analysis | Sam Campbell | 2024 | Independently Published | |
| 30 | Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications 2nd Edition | Laura Igual, Santi Seguí | 2024 | Springer | |
| 31 | Data Science Fundamentals with R, Python, and Open Data | Marco Cremonini | 2024 | WILEY | |
| 32 | Python for Data Science | Muddana A Lakshmi Lakshmi, Sandhya Vinayakam | 2024 | Springer | |
| 33 | Python for Absolute Beginners: The Ultimate Beginner's Guide to Learn Python Programming with Extensive Coverage on Data Science and Web Programming | Akubue, Bona | 2024 | NanoEdge International Ltd | |
| 34 | Audit Analytics: Data Science for the Accounting Profession (Use R!) | J. Christopher Westland | 2024 | Springer | |
| 35 | Python Scikit and Python Data Types for Beginners: A Step-By-Step Guide to Data Science Mastery - 2 Books in 1 | J. P. Parker | 2024 | Independently Published | |
| 36 | Learn Enough Python to Be Dangerous: Software Development, Flask Web Apps, and Beginning Data Science with Python | Michael Hartl | 2024 | Independently Published | |
| 37 | An Introduction to Spatial Data Science with GeoDa Volume 2 Clustering Spatial Data ( | Luc Anselin | 2024 | CRC Pressr | |
| 38 | PYTHON SCIKIT AND PYTHON STRINGS FOR BEGINNERS: A STEP-BY-STEP GUIDE TO DATA SCIENCE MASTERY - 2 BOOKS IN 1 | PARKER, JP | 2024 | Independently Published | |
| 39 | Mastering Marketing Data Science : A Comprehensive Guide for Today’s Marketers | Iain Brown | 2024 | WILEY | |
| 40 | Principles of Data Science: A beginner's guide to essential math and coding skills for data fluency and machine learning | Sinan Ozdemir | 2024 | Packt Publishing | |
| 41 | Principles of Data Science: A beginner's guide to essential math and coding skills for data fluency and machine learning | Sinan Ozdemir | 2024 | Packt Publishing | |
| 42 | Materials Data Science | Stefan Sandfeld | 2024 | Springer | |
| 43 | Cracking the Data Science Interview: Unlock Insider Tips from Industry Experts to Master the Data Science Field | Aaren Stubberfield, Leondra R. Gonzalez | 2024 | Packt Publishing | |
| 44 | Introduction to Data Science in Biostatistics: Using R, the Tidyverse Ecosystem, and APIs | Thomas W. MacFarland | 2024 | Springer | |
| 45 | Validity, Reliability, and Significance: Empirical Methods for NLP and Data Science (Synthesis Lectures on Human Language Technologies) | Stefan Riezler, Michael Hagmann | 2024 | Springer; Second Edition 2024 | |
| 46 | Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, 2nd Edition | Jalil Villalobos Alva | 2024 | Apress | |
| 47 | Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, and Neural Networks | Jalil Villalobos Alva | 2024 | Apress | |
| 48 | Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, and Neural Networks | Jalil Villalobos Alva | 2024 | Apress | |
| 49 | Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, and Neural Networks | Jalil Villalobos Alva | 2024 | Apress | |
| 50 | The Decision Maker's Handbook to Data Science: AI and Data Science for Non-Technical Executives, Managers, and Founders | Stylianos Kampakis | 2024 | Apress | |
| 51 | Linear Algebra in Data Science | Peter Zizler; Roberta La Haye | 2024 | Springer International Publishing | |
| 52 | Linear Algebra in Data Science | Peter Zizler; Roberta La Haye | 2024 | Springer International Publishing | |
| 53 | Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning apps, 2nd Edition | François Voron | 2024 | Packt Publishing | |
| 54 | Mastering Marketing Data Science: A Comprehensive Guide for Today’s Marketers | Iain Brown | 2024 | WILEY | |
| 55 | Getting Started with DuckDB: A practical guide for accelerating your data science, data analytics, and data engineering workflows | Simon Aubury, Ned Letcher | 2024 | Packt Publishing | |
| 56 | Getting Started with DuckDB: A practical guide for accelerating your data science, data analytics, and data engineering workflows | Simon Aubury, Ned Letcher | 2024 | Packt Publishing | |
| 57 | Data Science: A First Introduction with Python | Tiffany Timbers & Trevor Campbell & Melissa Lee & Joel Ostblom & Lindsey Heagy | 2024 | CRC Press | |
| 58 | Data Science Projects for thesis and Portfolio: Solving Political Problems | Dr. Zemelak Goraga | 2024 | SkyLimit Publishing | |
| 59 | Data Science Fundamentals with R, Python, and Open Data | Marco Cremonini | 2024 | Wiley | |
| 60 | Data Science Fundamentals with R, Python, and Open Data | Marco Cremonini | 2024 | Wiley | |
| 61 | Data Science Fundamentals with R, Python, and Open Data | Marco Cremonini | 2024 | Wiley | |
| 62 | Data Science for Decision Makers: Enhance your leadership skills with data science and AI expertise | Jon Howells | 2024 | Packt Publishing Pvt Ltd | |
| 63 | Linear Algebra in Data Science | Peter Zizler, Roberta La Haye | 2024 | Birkhäuser | |
| 64 | Frame Theory in Data Science (Advances in Science, Technology & Innovation) | Zhihua Zhang, Palle E. T. Jorgensen | 2024 | Springer | |
| 65 | Foundations of Data Science with Python | John M. Shea | 2024 | CRC Press | |
| 66 | Data Science on the Google Cloud Platform, 2nd Edition | Valliappa Lakshmanan | 2023 | O'Reilly Media, Inc. | |
| 67 | Practical Data Privacy Solving Privacy and Security Problems in Your Data Science Workflow. Early Release | Katharine Jarmul | 2023 | O'Reilly Media, Inc. | |
| 68 | Python Data Science Handbook: Essential Tools for Working with Data | Jake VanderPlas | 2023 | O'Reilly Media | |
| 69 | Apply Data Science: Introduction, Applications and Projects | Thomas Barton, Christian Müller | 2023 | Springer Vieweg | |
| 70 | Data Science and Algorithms in Systems: Proceedings of 6th Computational Methods in Systems and Software 2022, Vol. 2 | Radek Silhavy, Petr Silhavy, Zdenka Prokopova | 2023 | Springer | |
| 71 | Machine Learning, Image Processing, Network Security and Data Sciences: Select Proceedings of 3rd International Conference on MIND 2021 | Rajesh Doriya, Badal Soni, Anupam Shukla, Xiao-Zhi Gao | 2023 | Springer | |
| 72 | Mathematical Methods in Data Science | Jingli Ren, Haiyan Wang | 2023 | Elsevier | |
| 73 | Smart Technologies in Data Science and Communication: Proceedings of SMART-DSC 2022 | Kingsley A. Ogudo, Sanjoy Kumar Saha, Debnath Bhattacharyya | 2023 | Springer | |
| 74 | Machine Learning, Image Processing, Network Security and Data Sciences: 4th International Conference, MIND 2022 Virtual Event, January 19–20, 2023 Proceedings, Part II | Nilay Khare, Deepak Singh Tomar, Mitul Kumar Ahirwal, Vijay Bhaskar Semwal, Vaibhav Soni | 2023 | Springer | |
| 75 | Training Data for Machine Learning: Human Supervision from Annotation to Data Science (Seventh release) | Anthony Sarkis | 2023 | O'Reilly Media, Inc. | |
| 76 | Data Science, Analytics and Machine Learning with R | Luiz Paulo Favero, Patricia Belfiore, Rafael de Freitas Souza | 2023 | Academic Press | |
| 77 | Causal Inference for Data Science (MEAP V04) | Aleix Ruiz de Villa Robert | 2023 | Manning | |
| 78 | Causal Inference for Data Science (MEAP V04) | Aleix Ruiz de Villa Robert | 2023 | Manning | |
| 79 | Causal Inference for Data Science (MEAP V04) | Aleix Ruiz de Villa Robert | 2023 | Manning | |
| 80 | Data Science and Analytics Strategy: An Emergent Design Approach | Kailash Awati, Alexander Scriven | 2023 | CRC Press/Chapman & Hall | |
| 81 | 12th International Conference on Information Systems and Advanced Technologies “ICISAT 2022”: Intelligent Information, Data Science and Decision Support System | Mohamed Ridda Laouar, Valentina Emilia Balas, Brahim Lejdel, Sean Eom, Mohamed Amine Boudia | 2023 | Springer | |
| 82 | Introduction to Environmental Data Science | Jerry D. Davis | 2023 | CRC Press/Chapman & Hall | |
| 83 | Data Science and Human-Environment Systems | Steven M. Manson | 2023 | Cambridge University Press | |
| 84 | ICDSMLA 2021: Proceedings of the 3rd International Conference on Data Science, Machine Learning and Applications | Amit Kumar, Sabrina Senatore, Vinit Kumar Gunjan | 2023 | Springer | |
| 85 | Python Data Science Handbook: Essential Tools for Working with Data | Jake VanderPlas | 2023 | O'Reilly Media | |
| 86 | Big Data, Cloud Computing, and Data Science Engineering | Roger Lee | 2023 | Springer | |
| 87 | Proceedings of International Conference on Data Science and Applications: ICDSA 2022, Volume 2 | Mukesh Saraswat, Chandreyee Chowdhury, Chintan Kumar Mandal, Amir H. Gandomi | 2023 | Springer | |
| 88 | Statistical Analytics for Health Data Science with SAS and R | Jeffrey Wilson, Ding-Geng Chen, Karl E. Peace | 2023 | CRC Press/Chapman & Hall | |
| 89 | Geographic Data Science with R: Visualizing and Analyzing Environmental Change | Michael C. Wimberly | 2023 | CRC Press/Chapman & Hall | |
| 90 | Data Science and Predictive Analytics: Biomedical and Health Applications using R | Ivo D. Dinov | 2023 | Springer | |
| 91 | The Kaggle Book: Data analysis and machine learning for competitive data science | Konrad Banachewicz, Luca Massaron | 2023 | Packt | |
| 92 | Proceedings of International Conference on Data Science and Applications: ICDSA 2022, Volume 1 | Mukesh Saraswat, Chandreyee Chowdhury, Chintan Kumar Mandal, Amir H. Gandomi | 2023 | Springer | |
| 93 | R for Data Science: Import, Tidy, Transform, Visualize, and Model Data, 2nd Edition (Second Early Release) | Hadley Wickham, Mine Cetinkaya-Rundel, and Garrett Grolemund | 2023 | O'Reilly Media, Inc. | |
| 94 | Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences: PCCDS 2022 | Rajendra Prasad Yadav, Satyasai Jagannath Nanda, Prashant Singh Rana, Meng-Hiot Lim | 2023 | Springer | |
| 95 | Data Science, Analytics and Machine Learning with R | Luiz Favero, Patrícia Belfiore, Rafael de Freitas Souza | 2023 | Academic Press | |
| 96 | Thinking Data Science: A Data Science Practitioner’s Guide | Poornachandra Sarang | 2023 | Springer | |
| 97 | The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions | Marco Scutari, Mauro Malvestio | 2023 | CRC Press/Chapman & Hall | |
| 98 | Data Science in Applications | Gintautas Dzemyda, Jolita Bernatavi?ien?, Janusz Kacprzyk | 2023 | Springer | |
| 99 | Data Science in Applications | Gintautas Dzemyda | 2023 | Springer | |
| 100 | Mathematical Foundations of Data Science | Tomas Hrycej, Bernhard Bermeitinger, Matthias Cetto, Siegfried Handschuh | 2023 | Springer | |
| 101 | Guide to Teaching Data Science: An Interdisciplinary Approach | Orit Hazzan, Koby Mike | 2023 | Springer | |
| 102 | Learning Data Science: Programming and Statistics Fundamentals Using Python (Sixth Early Release) | Sam Lau, Deborah Nolan, and Joseph Gonzalez | 2023 | O'Reilly Media, Inc. | |
| 103 | Data Science for Civil Engineering: A Beginner's Guide | Rakesh K. Jain; Prashant Shantaram Dhotre; Deepak Tatyasaheb Mane; Parikshit Narendra Mahalle | 2023 | CRC Press | |
| 104 | Mathematical Foundations of Data Science | Tomas Hrycej, Bernhard Bermeitinger, Matthias Cetto, Siegfried Handschuh | 2023 | Springer | |
| 105 | IoT, Cloud and Data Science: Selected peer-reviewed full text papers from the International Research Conference on IoT, Cloud and Data Science (IRCICD'22) | S. Prasanna Devi, G. Paavai Anand, M. Durgadevi, Golda Dilip, S. Kannadhasan | 2023 | Trans Tech Publications | |
| 106 | Soft Computing in Data Science: 7th International Conference, SCDS 2023, Virtual Event, January 24–25, 2023, Proceedings | Marina Yusoff, Tao Hai, Murizah Kassim, Azlinah Mohamed, Eisuke Kita | 2023 | Springer | |
| 107 | Machine Learning, Optimization, and Data Science: 8th International Conference, LOD 2022, Certosa di Pontignano, Italy, September 19–22, 2022, Revised Selected Papers, Part I | Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos Pardalos (editor), Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton | 2023 | Springer | |
| 108 | Machine Learning, Optimization, and Data Science: 8th International Conference, LOD 2022, Certosa di Pontignano, Italy, September 19–22, 2022, Revised Selected Papers, Part II | Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos Pardalos (editor), Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton | 2023 | Springer | |
| 109 | Essential Statistics for Data Science: A Concise Crash Course | Mu Zhu | 2023 | Oxford University Press | |
| 110 | The Power of Data: Driving Climate Change with Data Science and Artificial Intelligence Innovations | Aboul Ella Hassanien, Ashraf Darwish | 2023 | Springer | |
| 111 | R for Data Science | Hadley Wickham, Mine Cetinkaya-Rundel, and Garrett Grolemund | 2023 | O'Reilly Media | |
| 112 | Data-Driven SEO with Python: Solve SEO Challenges with Data Science Using Python | Andreas Voniatis | 2023 | Apress | |
| 113 | Spatial Data Science: With Applications in R | Edzer Pebesma, Roger Bivand | 2023 | CRC Press | |
| 114 | Data Science for Entrepreneurship: Principles and Methods for Data Engineering, Analytics, Entrepreneurship, and the Society | Werner Liebregts, Willem-Jan Van den Heuvel, Damian A. Tamburri, Willem-Jan van den Heuvel, Arjan van den Born, Florian Böing-Messing, Anne J. F. Lafarre | 2023 | Springer | |
| 115 | IoT and Data Science in Engineering Management: Proceedings of the 16th International Conference on Industrial Engineering and Industrial Management and XXVI Congreso de Ingeniería de Organización | Fausto Pedro García Márquez, Isaac Segovia Ramírez, Pedro José Bernalte Sánchez, Alba Muñoz del Río | 2023 | Springer | |
| 116 | Fun with Machine Learning: Simplify the Data Science process by automating repetitive and complex tasks using AutoML | Arockia Liborious; Dr. Rik Das | 2023 | BPB Publications | |
| 117 | Graph Data Science For Dummies, 2nd Neo4j Special Edition | Dr. Alicia Frame, Zach Blumenfeld | 2023 | Wiley | |
| 118 | Data Science Concepts and Techniques with Applications | Usman Qamar; Muhammad Summair Raza | 2023 | Springer | |
| 119 | Data Science and Emerging Technologies: Proceedings of DaSET 2022 | Yap Bee Wah, Michael W. Berry, Azlinah Mohamed, Dhiya Al-Jumeily | 2023 | Springer | |
| 120 | Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges | Bradford Tuckfield | 2023 | No Starch Press | |
| 121 | Data Science Concepts and Techniques with Applications | Usman Qamar, Muhammad Summair Raza | 2023 | Springer | |
| 122 | Hands-On Data Science for Librarians | Sarah Lin, Dorris Scott | 2023 | CRC Press | |
| 123 | Soft Computing in Data Science. 7th International Conference, SCDS 2023 Virtual Event, January 24–25, 2023 Proceedings | Marina Yusoff, Tao Hai, Murizah Kassim, Azlinah Mohamed, Eisuke Kita | 2023 | Springer | |
| 124 | Machine Learning, Optimization, and Data Science. 8th International Workshop, LOD 2022 Certosa di Pontignano, Italy, September 19–22, 2022 Revised Selected Papers, Part I | Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos Pardalos, Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton | 2023 | Springer | |
| 125 | Machine Learning, Optimization, and Data Science. 8th International Workshop, LOD 2022 Certosa di Pontignano, Italy, September 19–22, 2022 Revised Selected Papers, Part II | Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Gabriele La Malfa, Panos Pardalos, Giuseppe Di Fatta, Giovanni Giuffrida, Renato Umeton | 2023 | Springer | |
| 126 | Practitioner's Guide to Data Science | Hui Lin, Ming Li | 2023 | CRC Press | |
| 127 | Data Science for Water Utilities: Data as a Source of Value | Peter Prevos | 2023 | CRC Press/Chapman & Hall | |
| 128 | Data Science with Semantic Technologies: New Trends and Future Developments | Archana Patel, Narayan C. Debnath | 2023 | CRC Press | |
| 129 | Training Data for Machine Learning: Human Supervision from Annotation to Data Science (8th Early release) | Anthony Sarkis | 2023 | O'Reilly Media, Inc. | |
| 130 | Educational Data Science: Essentials, Approaches, and Tendencies: Proactive Education based on Empirical Big Data Evidence (Big Data Management) | Alejandro Peña-Ayala (editor) | 2023 | Springer | |
| 131 | Educational Data Science: Essentials, Approaches, and Tendencies : Proactive Education based on Empirical Big Data Evidence | Alejandro Peña-Ayala | 2023 | Springer Nature Singapore | |
| 132 | Educational Data Science: Essentials, Approaches, and Tendencies: Proactive Education based on Empirical Big Data Evidence | Alejandro Peña-Ayala | 2023 | Springer | |
| 133 | Applied Data Science: Data Translators Across the Disciplines (Studies in Big Data, 125) | Douglas G. Woolford (editor), Donna Kotsopoulos (editor), Boba Samuels (editor) | 2023 | Springer | |
| 134 | Applied Data Science: Data Translators Across the Disciplines (Studies in Big Data, 125) | Douglas G. Woolford (editor), Donna Kotsopoulos (editor), Boba Samuels (editor) | 2023 | Springer | |
| 135 | Data Science for Complex Systems | Anindya S. Chakrabarti, K. Shuvo Bakar, Anirban Chakraborti | 2023 | Cambridge University Press | |
| 136 | Advances in Data Science and Artificial Intelligence: ICDSAI 2022, IIT Patna, India, April 23 – 24 (Springer Proceedings in Mathematics & Statistics, 403) | Rajiv Misra (editor), Nishtha Kesswani (editor), Muttukrishnan Rajarajan (editor), Bharadwaj Veeravalli (editor), Imene Brigui (editor), Ashok Patel (editor), T. N. Singh (editor) | 2023 | Springer | |
| 137 | Advances in Data Science and Artificial Intelligence: ICDSAI 2022, IIT Patna, India, April 23 – 24 (Springer Proceedings in Mathematics & Statistics, 403) | Rajiv Misra (editor), Nishtha Kesswani (editor), Muttukrishnan Rajarajan (editor), Bharadwaj Veeravalli (editor), Imene Brigui (editor), Ashok Patel (editor), T. N. Singh (editor) | 2023 | Springer | |
| 138 | Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices | Agostino Capponi, Charles-Albert Lehalle | 2023 | Cambridge University Press | |
| 139 | Data Science with Semantic Technologies: Deployment and Exploration | Archana Patel, Narayan C. Debnath | 2023 | CRC Press | |
| 140 | Natural Language Processing in the Real World: Text Processing, Analytics, and Classification (Chapman & Hall/CRC Data Science Series) | Jyotika Singh | 2023 | Chapman and Hall/CRC | |
| 141 | Learning Data Science Data Wrangling, Exploration,Visualization and Modeling with Python | Sam Lau, Deborah Nolan, and Joseph Gonzalez | 2023 | O'Reilly Media, Inc. | |
| 142 | Machine Learning and Data Sciences for Financial Markets | Agostino Capponi; Charles-Albert Lehalle | 2023 | Cambridge University Press | |
| 143 | Learn Enough Python to Be Dangerous: Software Development, Flask Web Apps, and Beginning Data Science with Python | Michael Hartl | 2023 | Addison-Wesley Professional | |
| 144 | Exploring Data Science with R and the Tidyverse, A Concise Introduction | Jerry Bonnell, Mitsunori Ogihara | 2023 | CRC Press | |
| 145 | Learn Enough Python to Be Dangerous: Software Development, Flask Web Apps, and Beginning Data Science with Python (Final) | Michael Hartl | 2023 | Addison-Wesley | |
| 146 | Data Science and Predictive Analytics. Biomedical and Health Applications using R | Ivo D. Dinov | 2023 | Springer | |
| 147 | Applied Linear Regression for Business Analytics with R: A Practical Guide to Data Science with Case Studies | Daniel P. McGibney | 2023 | Springer | |
| 148 | DATA SCIENCE PYTHON FOR BEGINNERS: The Complete Guide on Data Manipulation Using Matplotlib, Numpy, And Pandas | Brian Brock | 2023 | Independently published | |
| 149 | Data Science for Complex Systems | Anindya S. Chakrabarti, K. Shuvo Bakar, Anirban Chakraborti | 2023 | Cambridge University Press | |
| 150 | R for Data Science: Import, Tidy, Transform, Visualize, and Model Data | Hadley Wickham; Mine Çetinkaya-Rundel; Garrett Grolemund | 2023 | O'Reilly Media, Inc. | |
| 151 | Functional Programming in R 4: Advanced Statistical Programming for Data Science, Analysis, and Finance, Second Edition | Thomas Mailund | 2023 | Apress | |
| 152 | International Conference on Advanced Intelligent Systems for Sustainable Development: Volume 1 - Advanced Intelligent Systems on Artificial Intelligence, Software, and Data Science | Janusz Kacprzyk, Mostafa Ezziyyani, Valentina Emilia Balas | 2023 | Springer | |
| 153 | Communication Principles for Data Science | Changho Suh | 2023 | Springer | |
| 154 | Julia for Data Science (MEAP v3) | Ilker Arslan | 2023 | Manning Publications | |
| 155 | Advances in Data Science and Artificial Intelligence. ICDSAI 2022, IIT Patna, India, April 23 – 24 | Rajiv Misra, Nishtha Kesswani, Muttukrishnan Rajarajan, Bharadwaj Veeravalli, Imene Brigui, Ashok Patel, T. N. Singh | 2023 | Springer | |
| 156 | R for Data Science: Import, Tidy, Transform, Visualize, and Model Data | Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund | 2023 | O'Reilly Media | |
| 157 | Data Science and Applications for Modern Power Systems | Le Xie, Yang Weng, Ram Rajagopal | 2023 | Springer | |
| 158 | Functional Programming in R 4: Advanced Statistical Programming for Data Science, Analysis, and Finance | Thomas Mailund | 2023 | Apress | |
| 159 | Creators of Intelligence: Industry secrets from AI leaders that you can easily apply to advance your data science career | Dr. Alex Antic | 2023 | Packt Publishing | |
| 160 | Creators of Intelligence: Industry secrets from AI leaders that you can easily apply to advance your data science career | Dr. Alex Antic | 2023 | Packt Publishing | |
| 161 | Creators of Intelligence: Industry secrets from AI leaders that you can easily apply to advance your data science career | Dr. Alex Antic | 2023 | Packt Publishing | |
| 162 | Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data | Ulrich Matter | 2023 | CRC Press/Chapman & Hall | |
| 163 | Data Science Using JDBC And MySQL With Object Oriented Approach and Apache Netbeans IDE | Vivian Siahaan, Rismon Hasiholan Sianipar | 2023 | BALIGE PUBLISHING | |
| 164 | Python Data Science | Chaolemen Borjigin | 2023 | Springer | |
| 165 | Graph Algorithms for Data Science (MEAP v7) | Tomaž Bratani? | 2023 | Manning Publications | |
| 166 | Spatial Socio-econometric Modeling (SSEM): A Low-Code Toolkit for Spatial Data Science and Interactive Visualizations Using R | Manuel S. González Canché | 2023 | Springer | |
| 167 | Computational Intelligence in Analytics and Information Systems Volume 1: Data Science and AI | Hardeo Kumar Thakur, Manpreet Kaur (Lecturer in computer science), Parneeta Dhaliwal, Rajeev Arya, Zhongyu Lu | 2023 | | |
| 168 | Report Writing for Data Science in R (2019 Update) | Roger D. Peng | 2023 | | |
| 169 | Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data (Chapman & Hall/CRC Data Science Series) | Ulrich Matter | 2023 | Chapman and Hall/CRC | |
| 170 | Julia as a Second Language: General purpose programming with a taste of data science | Erik Engheim | 2023 | Manning | |
| 171 | Julia as a Second Language: General purpose programming with a taste of data science | Erik Engheim | 2023 | Manning | |
| 172 | Julia as a Second Language: General purpose programming with a taste of data science | Erik Engheim | 2023 | Manning | |
| 173 | Scaling Python with Dask: From Data Science to Machine Learning | Holden Karau, Mika Kimmins | 2023 | O'Reilly Media | |
| 174 | Scaling Python with Dask: From Data Science to Machine Learning (Final) | Holden Karau; Mika Kimmins | 2023 | O'Reilly Media, Inc. | |
| 175 | Graph Algorithms for Data Science MEAP V08 | Tomaz Bratanic | 2023 | Manning Publications | |
| 176 | Algorithmic Finance: A Companion To Data Science (By Team-IRA) | Christopher Hian-ann Ting | 2023 | WSPC | |
| 177 | Statistical Models and Methods for Data Science | Leonardo Grilli; Monia Lupparelli; Carla Rampichini; Emilia Rocco; Maurizio Vichi | 2023 | Springer International Publishing | |
| 178 | Statistical Models and Methods for Data Science (Studies in Classification, Data Analysis, and Knowledge Organization) | Leonardo Grilli (editor), Monia Lupparelli (editor), Carla Rampichini (editor), Emilia Rocco (editor), Maurizio Vichi (editor) | 2023 | Springer | |
| 179 | Data Science and Predictive Analytics: Biomedical and Health Applications using R | Ivo D. Dinov | 2023 | Springer Nature | |
| 180 | Communication Principles for Data Science | Changho Suh | 2023 | Springer Nature | |
| 181 | Data Science in Applications | Gintautas Dzemyda; Jolita Bernatavi?ien?; Janusz Kacprzyk | 2023 | Springer Nature | |
| 182 | The Power of Data: Driving Climate Change with Data Science and Artificial Intelligence Innovations | Aboul Ella Hassanien; Ashraf Darwish | 2023 | Springer Nature | |
| 183 | Smart Technologies in Data Science and Communication: Proceedings of SMART-DSC 2022 | Kingsley A. Ogudo; Sanjoy Kumar Saha; Debnath Bhattacharyya | 2023 | Springer Nature | |
| 184 | Data Science and Emerging Technologies: Proceedings of DaSET 2022 | Yap Bee Wah; Michael W. Berry; Azlinah Mohamed; Dhiya Al-Jumeily | 2023 | Springer Nature | |
| 185 | Machine Learning, Image Processing, Network Security and Data Sciences: 4th International Conference, MIND 2022, Virtual Event, January 19–20, 2023, Proceedings, Part II | Nilay Khare; Deepak Singh Tomar; Mitul Kumar Ahirwal; Vijay Bhaskar Semwal; Vaibhav Soni | 2023 | Springer Nature | |
| 186 | Soft Computing in Data Science: 7th International Conference, SCDS 2023, Virtual Event, January 24–25, 2023, Proceedings | Marina Yusoff; Tao Hai; Murizah Kassim; Azlinah Mohamed; Eisuke Kita | 2023 | Springer Nature | |
| 187 | Mathematical Methods in Data Science | Jingli Ren; Haiyan Wang | 2023 | Elsevier | |
| 188 | Apply Data Science: Introduction, Applications and Projects | Thomas Barton; Christian Müller | 2023 | Springer Nature | |
| 189 | Data Science Concepts and Techniques with Applications | Usman Qamar; Muhammad Summair Raza | 2023 | Springer Nature | |
| 190 | IoT and Data Science in Engineering Management: Proceedings of the 16th International Conference on Industrial Engineering and Industrial Management and XXVI Congreso de Ingeniería de Organización | Fausto Pedro García Márquez; Isaac Segovia Ramírez; Pedro José Bernalte Sánchez; Alba Muñoz del Río | 2023 | Springer Nature | |
| 191 | Data Science for Entrepreneurship: Principles and Methods for Data Engineering, Analytics, Entrepreneurship, and the Society | Werner Liebregts; Willem-Jan van den Heuvel; Arjan van den Born | 2023 | Springer Nature | |
| 192 | Proceedings of International Conference on Data Science and Applications: ICDSA 2022, Volume 2 | Mukesh Saraswat; Chandreyee Chowdhury; Chintan Kumar Mandal; Amir H. Gandomi | 2023 | Springer Nature | |
| 193 | Big Data, Cloud Computing, and Data Science Engineering | Roger Lee | 2023 | Springer Nature | |
| 194 | Thinking Data Science: A Data Science Practitioner’s Guide | Poornachandra Sarang | 2023 | Springer Nature | |
| 195 | The Recent Advances in Transdisciplinary Data Science: First Southwest Data Science Conference, SDSC 2022, Waco, TX, USA, March 25–26, 2022, Revised Selected Papers | Henry Han; Erich Baker | 2023 | Springer Nature | |
| 196 | Guide to Teaching Data Science: An Interdisciplinary Approach | Orit Hazzan; Koby Mike | 2023 | Springer Nature | |
| 197 | Spatial Socio-econometric Modeling (SSEM): A Low-Code Toolkit for Spatial Data Science and Interactive Visualizations Using R | Manuel S. González Canché | 2023 | Springer Nature | |
| 198 | Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data (Chapman & Hall/CRC Data Science) | Matter, Ulrich; | 2023 | CRC Press LLC | |
| 199 | Modern Business Analytics: Practical Data Science for Decision-making | Matt Taddy | 2023 | Mc Graw Hill | |
| 200 | Data Science and Machine Learning with Python: Learn and Practice Series | NIBEDITA Sahu | 2023 | NIBEDITA Sahu | |
| 201 | Scaling Python with Dask: From Data Science to Machine Learning | Holden Karau, Mika Kimmins | 2023 | O'Reilly Media | |
| 202 | Building Data Science Applications with FastAPI - Second Edition | François Voron | 2023 | Packt Publishing | |
| 203 | R for Data Science: Import, Tidy, Transform, Visualize, and Model Data | Hadley Wickham, Mine Çetinkaya-Rundel, Garrett Grolemund | 2023 | O'Reilly Media | |
| 204 | Data Science for Civil Engineering: A Beginner's Guide | Jain, Rakesh K.; Dhotre, Prashant Shantaram; Mane, Deepak Tatyasaheb; Mahalle, Parikshit Narendra | 2023 | Taylor & Francis Group | |
| 205 | A First Course in Probability for Computer and Data Science | Henk Tijms | 2023 | World Scientific Publishing | |
| 206 | Applications of Artificial Intelligence and Neural Systems to Data Science | Anna Esposito; Marcos Faundez-Zanuy; Francesco Carlo Morabito; Eros Pasero | 2023 | Springer Nature Singapore | |
| 207 | Encyclopedia of Data Science and Machine Learning | Wang John | 2023 | Engineering Science Reference | |
| 208 | Linear Algebra for Data Science | Moshe Haviv | 2023 | World Scientific Publishing Company | |
| 209 | Linear Algebra for Data Science | Moshe Haviv | 2023 | World Scientific Publishing Company | |
| 210 | Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python [Team-IRA] | Francois Voron | 2023 | Packt Publishing | |
| 211 | AI & Data Literacy: Empowering Citizens of Data Science | Bill Schmarzo | 2023 | Packt Publishing | |
| 212 | Football Analytics with Python & R: Learning Data Science Through the Lens of Sports | Eric Eager, Richard Erickson | 2023 | O'Reilly Media | |
| 213 | Machine Learning for Data Science Handbook : Data Mining and Knowledge Discovery Handbook | Lior Rokach; Oded Maimon; Erez Shmueli | 2023 | Springer International Publishing | |
| 214 | Modern Artificial Intelligence and Data Science: Tools, Techniques and Systems | Abdellah Idrissi | 2023 | Springer | |
| 215 | Data Science with R : An Introduction to Statistical Computing and Graphics | UMIC | 2023 | | |
| 216 | Data Science: An Introduction to Statistics and Machine Learning | Matthias Plaue | 2023 | Springer | |
| 217 | Data Engineering and Data Science: Concepts and Applications | Kukatlapalli Pradeep Kumar, Aynur Unal, Vinay Jha Pillai, Hari Murthy, M. Niranjanamurthy | 2023 | Wiley-Scrivener | |
| 218 | Machine Learning for Data Science Handbook: Data Mining and Knowledge Discovery Handbook | Lior Rokach (editor), Oded Maimon (editor), Erez Shmueli (editor) | 2023 | Springer | |
| 219 | Data Science Fusion: Integrating Maths, Python, and Machine Learning | NIBEDITA Sahu | 2023 | NIBEDITA Sahu | |
| 220 | Machine Intelligence and Data Science Applications: Proceedings of MIDAS 2022 (Algorithms for Intelligent Systems) | Amar Ramdane-Cherif (editor), T. P. Singh (editor), Ravi Tomar (editor), Tanupriya Choudhury (editor), Jung-Sup Um (editor) | 2023 | Springer | |
| 221 | Machine Intelligence and Data Science Applications: Proceedings of MIDAS 2022 | Amar Ramdane-Cherif (editor), T. P. Singh (editor), Ravi Tomar (editor), Tanupriya Choudhury (editor), Jung-Sup Um (editor) | 2023 | Springer | |
| 222 | Scaling Python with Dask: From Data Science to Machine Learning | Holden Karau, Mika Kimmins | 2023 | O'Reilly Media | |
| 223 | Practical Data Analytics for BFSI: Leveraging Data Science for Driving Decisions in Banking, Financial Services, and Insurance | Bharat Sikka, Dr. Priyender Yadav, Dr. Prashant Verma | 2023 | Orange Education PVT Ltd | |
| 224 | Data Science in Practice, 1st Edition | Tom Alby | 2023 | CRC Press | |
| 225 | Confident Data Science | Nelson, Adam Ross; | 2023 | Kogan Page, Limited | |
| 226 | A First Course In Probability For Computer And Data Science | Henk Tijm | 2023 | World Scientific Publishing | |
| 227 | Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python (Final) | Sam Lau | 2023 | O'Reilly Media | |
| 228 | Applied Linear Regression for Business Analytics with R. A Practical Guide to Data Science with Case Studies | Daniel P. McGibney | 2023 | Springer | |
| 229 | Data Science for Sensory and Consumer Scientists (Chapman & Hall/CRC Data Science Series) | Thierry Worch, Julien Delarue, Vanessa Rios De Souza, John Ennis | 2023 | Chapman and Hall/CRC | |
| 230 | Data Science for Sensory and Consumer Scientists | Worch, Thierry; Delarue, Julien; De Souza, Vanessa Rios;Ennis, John; Julien Delarue; Vanessa Rios de Souza; John Ennis | 2023 | CRC Press | |
| 231 | Data Smart: Using Data Science to Transform Information into Insight | Jordan Goldmeier | 2023 | Wiley | |
| 232 | Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies, and Applications | Majumder, Abhishek;Sarkar, Joy Lal;Majumder, Arindam; | 2023 | Bentham Science Publishers | |
| 233 | Advanced Mathematical Applications in Data Science | Biswadip Basu Mallik, Kirti Verma, Rahul Kar, Ashok Kumar Shaw | 2023 | Bentham Science Publishers | |
| 234 | Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python | Sam Lau, Joseph Gonzalez, Deborah Nolan | 2023 | O'Reilly Media | |
| 235 | Data Smart: Using Data Science to Transform Information into Insight [Team-IRA] | Jordan Goldmeier | 2023 | Wiley | |
| 236 | Elements of Data Science, Machine Learning, and Artificial Intelligence Using R | Frank Emmert-Streib; Salissou Moutari; Matthias Dehmer | 2023 | Springer International Publishing | |
| 237 | Streamlit for Data Science: Create interactive data apps in Python | Tyler Richards | 2023 | Packt | |
| 238 | Data Smart: Using Data Science to Transform Information into Insight | Jordan Goldmeier | 2023 | Wiley | |
| 239 | Data Smart: Using Data Science to Transform Information into Insight | Jordan Goldmeier | 2023 | Wiley | |
| 240 | Python for Data Science For Dummies [Team-IRA] | John Paul Mueller, Luca Massaron | 2023 | For Dummies | |
| 241 | Python for Data Science For Dummies, 3rd Edition | John Paul Mueller, Luca Massaron | 2023 | Wiley-Scrivener | |
| 242 | Graph Data Science with Neo4j: Learn how to use Neo4j 5 with Graph Data Science library 2.0 and its Python driver for your project | Estelle Scifo | 2023 | Packt Publishing | |
| 243 | Logic: Reference Book for Computer Scientists: The 2nd Revised, Modified, and Enlarged Edition of “Logics for Computer and Data Sciences, and Artificial Intelligence” | Lech T. Polkowski | 2023 | Springer | |
| 244 | Streamlit for Data Science: Create interactive data apps in Python | Tyler Richards | 2023 | Packt Publishing | |
| 245 | The Statistics and Machine Learning with R Workshop: Unlock the power of efficient data science modeling | Liu Peng | 2023 | Packt Publishing | |
| 246 | R Bioinformatics Cookbook: Utilize R packages for bioinformatics, genomics, data science, and machine learning | Dan MacLean | 2023 | Packt Publishing Pvt Ltd | |
| 247 | Python for Data Science For Dummies | John Paul Mueller; Luca Massaron | 2023 | Wiley | |
| 248 | Football Analytics with Python & R: Learning Data Science Through the Lens of Sports | Eric Eager, Richard Erickson | 2023 | O'Reilly Media | |
| 249 | R Bioinformatics Cookbook: Utilize R packages for bioinformatics, genomics, data science, and machine learning | Dan MacLean | 2023 | Packt Publishing | |
| 250 | Data Science: The Hard Parts: Techniques for Excelling at Data Science | Daniel Vaughan | 2023 | O'Reilly Media | |
| 251 | Downloaded Data Science and Machine Learning Applications in Subsurface Engineering | Daniel Asante Otchere | 2023 | CRC Press | |
| 252 | Logic: Reference Book for Computer Scientists. The 2nd Revised, Modified, and Enlarged Edition of “Logics for Computer and Data Sciences, and Artificial Intelligence” | Lech T. Polkowski | 2023 | Springer | |
| 253 | Google Cloud Platform for Data Science: A Crash Course on Big Data, Machine Learning, and Data Analytics Services | Shitalkumar R. Sukhdeve, Sandika S. Sukhdeve | 2023 | Apress | |
| 254 | Fundamentals of Data Science: Theory and Practice | Jugal K. Kalita; Dhruba K. Bhattacharyya; Swarup Roy | 2023 | Elsevier Science & Technology | |
| 255 | Fundamentals of Data Science: Theory and Practice | Jugal K. Kalita, Dhruba K. Bhattacharyya, Swarup Roy | 2023 | Academic Press | |
| 256 | Fundamentals of Data Science: Theory and Practice | Jugal K. Kalita, Dhruba K. Bhattacharyya, Swarup Roy | 2023 | Academic Press | |
| 257 | Data Science: The Hard Parts: Techniques for Excelling at Data Science | Daniel Vaughan | 2023 | O'Reilly Media | |
| 258 | Training Data for Machine Learning: Human Supervision from Annotation to Data Science | Anthony Sarkis | 2023 | O'Reilly Media | |
| 259 | Data Science, Human Science, and Ancient Gods: Conversations in Theory & Method | Sandra Blakely; Megan Daniels | 2023 | Lockwood Press | |
| 260 | Information-Driven Machine Learning : Data Science as an Engineering Discipline | Gerald Friedland | 2023 | Springer International Publishing | |
| 261 | Intelligent Decision Support Systems for Smart City Applications (Concise Introductions to AI and Data Science) | Loveleen Gaur (editor), Vernika Agarwal (editor), Prasenjit Chatterjee (editor) | 2023 | Wiley-Scrivener | |
| 262 | Introduction to Data Science | Gaoyan Ou, Zhanxing Zhu, Bin Dong | 2023 | World Scientific Publishing | |
| 263 | Geographic Data Science with Python (Chapman & Hall/CRC Texts in Statistical Science) | Sergio Rey, Dani Arribas-Bel, Levi John Wolf | 2023 | Chapman and Hall/CRC | |
| 264 | Spatial Statistics for Data Science: Theory and Practice with R (Chapman & Hall/CRC Data Science Series) | Paula Moraga | 2023 | Chapman and Hall/CRC | |
| 265 | Data Science for Web3 | Gabriela Castillo Areco | 2023 | Packt Publishing Pvt. Ltd. | |
| 266 | Data Science for Neuroimaging: An Introduction | Ariel Rokem, Tal Yarkoni | 2023 | Princeton University Press | |
| 267 | Python for Econometrics: Bridging Data Science and Economic Analysis: A comprehensive guide to Python for Econometrics | Van Der Post, Hayden | 2023 | Reactive Publishing | |
| 268 | Fundamentals of Data Science: Theory and Practice | Jugal K. Kalita, Dhruba K. Bhattacharyya, Swarup Roy | 2023 | Academic Press | |
| 269 | Advanced Mathematical Applications in Data Science | Kirti Verma; Rahul Kar; Ashok Kumar Shaw | 2023 | Bentham Science Publishers | |
| 270 | Introduction to Data Science | Gaoyan Ou, Zhanxing Zhu, Bin Dong | 2023 | WSPC/HEP | |
| 271 | Logic: Reference Book for Computer Scientists: The 2nd Revised, Modified, and Enlarged Edition of “Logics for Computer and Data Sciences, and ... (Intelligent Systems Reference Library, 245) | Lech T. Polkowski | 2023 | Springer | |
| 272 | Daily Dose of Data Science | Daily Dose of Data Science | 2023 | Daily Dose of Data Science | |
| 273 | Python Crash Course: Learn To Automate The Boring Stuff. Python Programming For Beginners, Learn Basics And Master Python Data Science. The Guide With The Best Tricks. | Bader, Eric | 2023 | Independently Published | |
| 274 | Geospatial Data Science: A Hands-On Approach for Building Geospatial Applications Using Linked Data Technologies | Manolis Koubarakis | 2023 | ACM Books | |
| 275 | Python Numpy and Pandas for Beginners: Unleash the Power of Data Science With Easy-to-follow Tutorials | J. P. Parker | 2023 | Independently Published | |
| 276 | Before Machine Learning, Volume 1: Linear Algebra for A.I: The fundamental mathematics for Data Science and Artificial Inteligence. | Jorge Brasil | 2023 | | |
| 277 | Elements of Data Science, Machine Learning, and Artificial Intelligence Using R | Frank Emmert-Streib, Salissou Moutari, Matthias Dehmer | 2023 | Springer | |
| 278 | Python for Data Science: A Practical Approach to Machine Learning | Jarrel E. | 2023 | Indy Pub | |
| 279 | Classification and Data Science in the Digital Age (Studies in Classification, Data Analysis, and Knowledge Organization) | Paula Brito (editor), José G. Dias (editor), Berthold Lausen (editor), Angela Montanari (editor), Rebecca Nugent (editor) | 2023 | Springer | |
| 280 | Data Science: 9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023, Harbin, China, September 22–24,2023, Proceedings | Zhiwen Yu (editor), Qilong Han (editor), Hongzhi Wang (editor), Bin Guo (editor), Xiaokang Zhou (editor), Xianhua Song (editor), Zeguang Lu (editor) | 2023 | Springer | |
| 281 | Data Science: 9th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2023, Harbin, China, September 22–24, ... in Computer and Information Science) | Zhiwen Yu (editor), Qilong Han (editor), Hongzhi Wang (editor), Bin Guo (editor), Xiaokang Zhou (editor), Xianhua Song (editor), Zeguang Lu (editor) | 2023 | Springer | |
| 282 | Machine Learning, Image Processing, Network Security and Data Sciences: 4th International Conference, MIND 2022, Virtual Event, January 19–20, 2023, ... in Computer and Information Science) | Nilay Khare (editor), Deepak Singh Tomar (editor), Mitul Kumar Ahirwal (editor), Vijay Bhaskar Semwal (editor), Vaibhav Soni (editor) | 2023 | Springer | |
| 283 | Information-Driven Machine Learning: Data Science as an Engineering Discipline | Gerald Friedland | 2023 | Springer | |
| 284 | IoT, Big Data and AI for Improving Quality of Everyday Life: Present and Future Challenges: IOT, Data Science and Artificial Intelligence Technologies (Studies in Computational Intelligence, 1104) | Pradeep Kumar Singh (editor), S?awomir T. Wierzcho? (editor), Wies?aw Paw?owski (editor), Arpan Kumar Kar (editor), Yugal Kumar (editor) | 2023 | Springer | |
| 285 | Intelligent Systems and Data Science: First International Conference, ISDS 2023, Can Tho, Vietnam, November 11–12, 2023, Proceedings, Part I (Communications in Computer and Information Science) | Nguyen Thai-Nghe (editor), Thanh-Nghi Do (editor), Peter Haddawy (editor) | 2023 | Springer | |
| 286 | Intelligent Systems and Data Science: First International Conference, ISDS 2023, Can Tho, Vietnam, November 11–12, 2023, Proceedings, Part II (Communications in Computer and Information Science) | Nguyen Thai-Nghe (editor), Thanh-Nghi Do (editor), Peter Haddawy (editor) | 2023 | Springer | |
| 287 | Operations Research and Data Science in Public Services: 6th AIROYoung Workshop, Rome, Italy, February 23–25, 2022 (AIRO Springer Series, 11) | Matteo Cosmi (editor), Lorenzo Peirano (editor), Alice Raffaele (editor), Marcella Samà (editor) | 2023 | Springer | |
| 288 | Proceedings of the 4th International Conference on Data Science, Machine Learning and Applications: ICDSMLA 2022, 26–27 December, Hyderabad, India (Lecture Notes in Electrical Engineering, 1038) | Amit Kumar (editor), Vinit Kumar Gunjan (editor), Yu-Chen Hu (editor), Sabrina Senatore (editor) | 2023 | Springer | |
| 289 | Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences: PCCDS 2022 (Algorithms for Intelligent Systems) | Rajendra Prasad Yadav (editor), Satyasai Jagannath Nanda (editor), Prashant Singh Rana (editor), Meng-Hiot Lim (editor) | 2023 | Springer | |
| 290 | Learn Enough Python to Be Dangerous: Software Development, Flask Web Apps, and Beginning Data Science with Python | Michael Hartl | 2023 | Addison-Wesley Professional | |
| 291 | Optimal Transport and Applications to Geometric Optics (SpringerBriefs on PDEs and Data Science) | Cristian E. Gutiérrez | 2023 | Springer | |
| 292 | Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering | Haksun Li PhD | 2023 | Apress | |
| 293 | Data Science and Data Analytics | Amit Kumar Tyagi; | 2022 | CRC Press (Unlimited) | |
| 294 | Training Data for Machine Learning: Human Supervision from Annotation to Data Science | Anthony Sarkis | 2022 | O'Reilly Media | |
| 295 | Essential Math for Data Science | Thomas Nield | 2022 | O'Reilly Media, Inc. | |
| 296 | Data Science in Engineering and Management: Applications, New Developments, and Future Trends | Zdzislaw Polkowski (editor), Sambit Kumar Mishra (editor), Julian Vasilev (editor) | 2022 | CRC Press | |
| 297 | Numerical Methods Using Java: For Data Science, Analysis, and Engineering | Haksun Li PhD | 2022 | Apress | |
| 298 | Business Analytics: Data Science for Business Problems | Walter R. Paczkowski | 2022 | Springer | |
| 299 | Numerical Methods Using Java: For Data Science, Analysis, and Engineering | Haksun Li PhD | 2022 | Apress | |
| 300 | Data Science Interview: Prep for SQL, Panda, Python, R Language, Machine Learning, DBMS and RDBMS – And More – The Full Data Scientist Interview Handbook | DSI ACE PREP | 2022 | Data Science Interview Books | |
| 301 | Effective Data Science Infrastructure | Ville Tuulos | 2022 | Manning Publications | |
| 302 | Python NumPy for Beginners: NumPy Specialization for Data Science | AI Publishing | 2022 | AI Publishing LLC | |
| 303 | Python Pandas for Beginners: Pandas Specialization for Data Scientist (Python for Beginners in Data Science and Data Analysis Book 2) | Publishing, AI | 2022 | AI Publishing LLC | |
| 304 | Applied Data Science in Tourism: Interdisciplinary Approaches, Methodologies, and Applications | Roman Egger | 2022 | Springer | |
| 305 | Fast Python for Data Science Version 8 | Tiago Antão | 2022 | Manning Publications | |
| 306 | Machine Learning, Optimization, and Data Science: 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, Part II (Lecture Notes in Computer Science, 13164) | Giuseppe Nicosia (editor), Varun Ojha (editor), Emanuele La Malfa (editor), Gabriele La Malfa (editor), Giorgio Jansen (editor), Panos M. Pardalos (editor), Giovanni Giuffrida (editor), Renato Umeton (editor) | 2022 | Springer | |
| 307 | Regression Models for Data Science in R: Statistical inference for data science. | YASSINE MOUSAIF | 2022 | UNKNOWN | |
| 308 | Regression Models for Data Science in R | coll | 2022 | | |
| 309 | The Data Engineering Cookbook: Mastering The Plumbing Of Data Science | YASSINE MOUSAIF | 2022 | UNKNOWN | |
| 310 | Computational Intelligence and Data Sciences: Paradigms in Biomedical Engineering | Ayodeji Olalekan Salau (editor), Shruti Jain (editor), Meenakshi Sood (editor) | 2022 | CRC Press | |
| 311 | Essential Math for Data Science | Thomas Nield | 2022 | O'Reilly | |
| 312 | Secure Data Science: Integrating Cyber Security and Data Science | B. Thuraisngham, M. Kantarcioglu, L. Khan | 2022 | | |
| 313 | Designing User Interfaces With a Data Science Approach (Advances in Systems Analysis, Software Engineering, and High Performance Computing) | Abhijit Narayanrao Banubakode (editor), Ganesh Dattatray Bhutkar (editor), Yohannes Kurniawan (editor) | 2022 | Engineering Science Reference | |
| 314 | Data Science - Analytics and Applications(2022) [] [9783658362959] | | 2022 | | |
| 315 | Data Science on the Google Cloud Platform: Implementing End-to-End Real-Time Data Pipelines: From Ingest to Machine Learning | Valliappa Lakshmanan | 2022 | O'Reilly Media | |
| 316 | Building Data Science Solutions with Anaconda: A comprehensive starter guide to building robust and complete models | Dan Meador | 2022 | Packt Publishing | |
| 317 | Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist | T. Mailund | 2022 | | |
| 318 | Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics | Thomas Nield | 2022 | O'Reilly Media | |
| 319 | OCaml Scientific Computing: Functional Programming in Data Science and Artificial Intelligence | Liang Wang, Jianxin Zhao, Richard Mortier | 2022 | Springer | |
| 320 | Fast Python for Data Science | Tiago Rodrigues Antao | 2022 | Manning | |
| 321 | Mathematical Pictures at a Data Science Exhibition | Simon Foucart | 2022 | Cambridge University Press | |
| 322 | Data Science and Security: Proceedings of IDSCS 2022 | Samiksha Shukla (editor), Xiao-Zhi Gao (editor), Joseph Varghese Kureethara (editor), Durgesh Mishra (editor) | 2022 | Springer | |
| 323 | Effective Data Science Infrastructure: How to make data scientists productive | Ville Tuulos | 2022 | Manning Publications | |
| 324 | Beginning Data Science in R 4: Data Analysis, Visualization, and Modelling for the Data Scientist | Thomas Mailund | 2022 | Apress | |
| 325 | Data Science and Security: Proceedings of IDSCS 2022 (Lecture Notes in Networks and Systems, 462) | Samiksha Shukla (editor), Xiao-Zhi Gao (editor), Joseph Varghese Kureethara (editor), Durgesh Mishra (editor) | 2022 | Springer | |
| 326 | Python for Data Science: A Hands-On Introduction | Yuli Vasiliev | 2022 | No Starch Press | |
| 327 | Essential Math for Data Science | Thomas Nield | 2022 | O'Reilly Media, Inc. | |
| 328 | Graph Algorithms for Data Science Second Edition Version 4 | Tomaž Bratani? | 2022 | Manning Publications | |
| 329 | Data Science: Techniques and Intelligent Applications | Pallavi Vijay Chavan (editor), Parikshit N Mahalle (editor), Ramchandra Mangrulkar (editor), Idongesit Williams (editor) | 2022 | Chapman and Hall/CRC | |
| 330 | Data Mining and Exploration: From Traditional Statistics to Modern Data Science | Chong Ho Alex Yu | 2022 | CRC Press | |
| 331 | Time Series for Data Science: Analysis and Forecasting | Wayne A. Woodward, Bivin Philip Sadler, Stephen Robertson | 2022 | CRC Press | |
| 332 | Practical Linear Algebra for Data Science | Mike X Cohen | 2022 | O'Reilly Media, Inc. | |
| 333 | Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan | Goran Trajkovski (editor), Marylee Demeter (editor), Heather Hayes (editor) | 2022 | Information Science Reference | |
| 334 | Productive and Efficient Data Science with Python: With Modularizing, Memory profiles, and Parallel/GPU Processing | Tirthajyoti Sarkar | 2022 | Apress | |
| 335 | Productive and Efficient Data Science with Python: With Modularizing, Memory profiles, and Parallel/GPU Processing | Tirthajyoti Sarkar | 2022 | Apress | |
| 336 | Machine Learning and Data Science: Fundamentals and Applications | Prateek Agrawal (editor), Charu Gupta (editor), Anand Sharma (editor), Vishu Madaan (editor), Nisheeth Joshi (editor) | 2022 | Wiley-Scrivener | |
| 337 | Dimensionality Reduction in Data Science | Max Garzon, Ching-Chi Yang, Deepak Venugopal, Nirman Kumar, Kalidas Jana, Lih-Yuan Deng | 2022 | Springer | |
| 338 | Dimensionality Reduction in Data Science | Max Garzon, Ching-Chi Yang, Deepak Venugopal, Nirman Kumar, Kalidas Jana, Lih-Yuan Deng | 2022 | Springer | |
| 339 | Dimensionality Reduction in Data Science | Max Garzon, Ching-Chi Yang, Deepak Venugopal, Nirman Kumar, Kalidas Jana, Lih-Yuan Deng | 2022 | Springer | |
| 340 | Dimensionality Reduction in Data Science | Max Garzon (editor), Ching-Chi Yang (editor), Deepak Venugopal (editor), Nirman Kumar (editor), Kalidas Jana (editor), Lih-Yuan Deng (editor) | 2022 | Springer | |
| 341 | Machine Intelligence and Data Science Applications: Proceedings of MIDAS 2021 (Lecture Notes on Data Engineering and Communications Technologies, 132) | Vaclav Skala (editor), T. P. Singh (editor), Tanupriya Choudhury (editor), Ravi Tomar (editor), Md. Abul Bashar (editor) | 2022 | Springer | |
| 342 | Foundational Python for Data Science | Kennedy R. Behrman | 2022 | Addison-Wesley | |
| 343 | Foundational Python for Data Science | Kennedy R. Behrman | 2022 | Addison-Wesley | |
| 344 | Effective Data Science Infrastructure: How to make data scientists productive | Ville Tuulos | 2022 | Manning | |
| 345 | Effective Data Science Infrastructure: How to make data scientists productive | Ville Tuulos | 2022 | Manning | |
| 346 | Effective Data Science Infrastructure: How to make data scientists productive | Ville Tuulos | 2022 | Manning | |
| 347 | Effective Data Science Infrastructure: How to make data scientists productive | Ville Tuulos | 2022 | Manning | |
| 348 | Data Science Handbook | Kolla Bhanu Prakash | 2022 | Wiley-Scrivener | |
| 349 | Data Science, AI, and Machine Learning in Drug Development | Harry Yang | 2022 | CRC Press | |
| 350 | Data Science Handbook | Kolla Bhanu Prakash | 2022 | Wiley-Scrivener | |
| 351 | Data Science Handbook | Kolla Bhanu Prakash | 2022 | Wiley-Scrivener | |
| 352 | High-Dimensional Optimization and Probability: With a View Towards Data Science | Ashkan Nikeghbali, Panos M. Pardalos, Andrei M. Raigorodskii, Michael Th. Rassias | 2022 | Springer | |
| 353 | Artificial Intelligence and Data Science in Environmental Sensing | Mohsen Asadnia, Amir Razmjou, Amin Beheshti | 2022 | Academic Press | |
| 354 | Comet for Data Science: Enhance your ability to manage and optimize the life cycle of your data science project | Angelica Lo Duca | 2022 | Packt Publishing | |
| 355 | Getting Data Science Done | John Hawkins | 2022 | Business Expert Press | |
| 356 | Getting Data Science Done: Managing Projects From Ideas to Products | John Hawkins | 2022 | Business Expert Press | |
| 357 | Building Bridges between Soft and Statistical Methodologies for Data Science | Luis A. García-Escudero, Alfonso Gordaliza, Agustín Mayo, María Asunción Lubiano Gomez, Maria Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz | 2022 | Springer | |
| 358 | Building Bridges between Soft and Statistical Methodologies for Data Science (Advances in Intelligent Systems and Computing, 1433) | Luis A. García-Escudero (editor), Alfonso Gordaliza (editor), Agustín Mayo (editor), María Asunción Lubiano Gomez (editor), Maria Angeles Gil (editor), Przemyslaw Grzegorzewski (editor), Olgierd Hryniewicz (editor) | 2022 | Springer | |
| 359 | Practitioner’s Guide to Data Science: Streamlining Data Science Solutions Using Python, Scikit-Learn, and Azure ML Service Platform | Nasir Ali Mirza | 2022 | BPB Publications | |
| 360 | Data Science with Semantic Technologies: Theory, Practice and Application | Archana Patel, Narayan C. Debnath, Bharat Bhushan | 2022 | Wiley-Scrivener | |
| 361 | Artificial Intelligence and Data Science in Environmental Sensing | Mohsen Asadnia;Amir Razmjou;Amin Beheshti;; Amir Razmjou; Amin Beheshti | 2022 | Elsevier Ltd. | |
| 362 | Practical Linear Algebra for Data Science | Mike X Cohen | 2022 | O'Reilly Media, Inc. | |
| 363 | Deep Learning for Sustainable Agriculture (Cognitive Data Science in Sustainable Computing) | Ramesh Poonia (editor), Vijander Singh (editor), Soumya Ranjan Nayak (editor) | 2022 | Academic Press | |
| 364 | Data Science in Societal Applications: Concepts and Implications | Siddharth Swarup Rautaray, Manjusha Pandey, Nhu Gia Nguyen | 2022 | Springer | |
| 365 | Human-Centered Data Science: An Introduction : An Introduction | Cecilia Aragon; Shion Guha; Marina Kogan; Michael Muller; Gina Neff | 2022 | MIT Press | |
| 366 | Trader Construction Kit: Fundamental & Technical Analysis, Risk Management, Directional Trading, Spreads, Options, Quantitative Strategies, Execution, Position Management, Data Science & Programming ,updated second edition, Joel Rubano | Joel Rubano,2nd ed | 2022 | Cephalopods publishers | |
| 367 | Beginning Data Science, IoT, and AI on Single Board Computers: Core Skills and Real-World Application with the BBC micro:bit and XinaBox | Philip Meitiner; Pradeeka Seneviratne | 2022 | Apress | |
| 368 | Building Data Science Solutions with Anaconda: A comprehensive starter guide to building robust and complete models | Dan Meador | 2022 | Packt Publishing | |
| 369 | Data Science for Effective Healthcare Systems | Hari Singh, Ravindara Bhatt, Prateek Thakral, Dinesh Chander Verma | 2022 | CRC Press/Chapman & Hall | |
| 370 | Demystifying Graph Data Science: Graph algorithms, analytics methods, platforms, databases, and use cases | Pethuru Raj, Abhishek Kumar, Vicente García Díaz, Nachamai Muthuraman Sundar | 2022 | The Institution of Engineering and Technology | |
| 371 | Computational Intelligence in Data Science: 5th IFIP TC 12 International Conference, ICCIDS 2022, Virtual Event, March 24–26, 2022, Revised Selected ... and Communication Technology, 654) | Lekshmi Kalinathan (editor), Priyadharsini R. (editor), Madheswari Kanmani (editor), Manisha S. (editor) | 2022 | Springer | |
| 372 | Data Science and Analytics for SMEs: Consulting, Tools, Practical Use Cases | Afolabi Ibukun Tolulope | 2022 | Apress | |
| 373 | Data Science and Analytics for SMEs: Consulting, Tools, Practical Use Cases | Afolabi Ibukun Tolulope | 2022 | Apress | |
| 374 | Demystifying Graph Data Science: Graph algorithms, analytics methods, platforms, databases, and use cases (Computing and Networks) | Pethuru Raj (editor), Abhishek Kumar (editor), Vicente García Díaz (editor), Nachamai Muthuraman (editor) | 2022 | The Institution of Engineering and Technology | |
| 375 | Advances in Data Science and Computing Technology: Methodology and Applications | Suman Ghosal (editor), Amitava Choudhury (editor), Vikram Kumar Saxena (editor), Arindam Biswas (editor), Prasenjit Chatterjee (editor) | 2022 | Apple Academic Press | |
| 376 | Data Science: Techniquest and Intelligent Applications | Pallavi Vijay Chavan, Parikshit N. Mahalle, Ramchandra Mangrulkar, Idongesit Williams | 2022 | CRC Press/Chapman & Hall | |
| 377 | Time Series for Data Science: Analysis and Forecasting (Chapman & Hall/CRC Texts in Statistical Science) | Wayne A. Woodward, Bivin Philip Sadler, Stephen Robertson | 2022 | Chapman and Hall/CRC | |
| 378 | Mathematical Foundations of Data Science Using R | Frank S. Emmert-Streib, Salissou Moutari, Matthias Dehmer | 2022 | De Gruyter | |
| 379 | Mathematical Foundations of Data Science Using R | Frank Emmert-Streib, Salissou Moutari, Matthias Dehmer | 2022 | De Gruyter | |
| 380 | Mathematical Foundations of Data Science Using R | Frank Emmert-Streib; Salissou Moutari; Matthias Dehmer | 2022 | Gruyter, Walter de GmbH | |
| 381 | Data Science Handbook : A Practical Approach | Kolla Bhanu Prakash (editor) | 2022 | Wiley-Scrivener | |
| 382 | Graph Algorithms for Data Science Second Edition Version 6 | Tomaž Bratani? | 2022 | The MathWorks, Inc. | |
| 383 | Data Science for Infectious Disease Data Analytics: An Introduction with R | Lily Wang | 2022 | CRC Press/Chapman & Hall | |
| 384 | Advances and Innovations in Statistics and Data Science | Wenqing He, Liqun Wang, Jiahua Chen, Chunfang Devon Lin | 2022 | Springer | |
| 385 | Computational Statistics in Data Science | Richard A. Levine, Walter W. Piegorsch, Hao Helen Zhang, Thomas C. M. Lee | 2022 | Wiley | |
| 386 | Advances in Data Science and Analytics: Concepts and Paradigms | M. Niranjanamurthy, Hemant Kumar Gianey, Amir H. Gandomi | 2022 | Wiley-Scrivener | |
| 387 | Fuzzy Computing in Data Science: Applications and Challenges | Sachi Nandan Mohanty, Prasenjit Chatterjee, Bui Thanh Hung | 2022 | Wiley-Scrivener | |
| 388 | Data Science Applications of Post-COVID-19 Psychological Disorders | Vijayalakshmi Kakulapati | 2022 | Nova Science Publishers | |
| 389 | Artificial Intelligence for Data Science in Theory and Practice | Mohamed Alloghani, Christopher Thron, Saad Subair | 2022 | Springer | |
| 390 | Data Science for Engineers | Raghunathan Rengaswamy, Resmi Suresh | 2022 | CRC Press | |
| 391 | ICT and Data Sciences | Archana Singh, Vinod Kumar Shukla, Ashish Seth, Sai Sabitha | 2022 | CRC Press | |
| 392 | Ethical Practice of Statistics and Data Science | Rochelle E. Tractenberg | 2022 | Ethics International Press | |
| 393 | Responsible Data Science: Select Proceedings of ICDSE 2021 | Jimson Mathew, G. Santhosh Kumar, Deepak P., Joemon M. Jose | 2022 | Springer | |
| 394 | The Beginner's Guide to Data Science | Robert Ball, Brian Rague | 2022 | Springer | |
| 395 | Artificial Intelligence, Big Data and Data Science in Statistics: Challenges and Solutions in Environmetrics, the Natural Sciences and Technology | Ansgar Steland, Kwok-Leung Tsui | 2022 | Springer | |
| 396 | Recent Developments in Statistics and Data Science: SPE2021, Évora, Portugal, October 13–16 | Regina Bispo, Lígia Henriques-Rodrigues, Russell Alpizar-Jara, Miguel de Carvalho | 2022 | Springer | |
| 397 | Wineinformatics: A New Data Science Application | Bernard Chen | 2022 | Springer | |
| 398 | How to Think about Data Science | Diego Miranda-Saavedra | 2022 | CRC Press/Chapman & Hall | |
| 399 | Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python | Mike Cohen | 2022 | O'Reilly Media | |
| 400 | Data Science for Genomics | Amit Kumar Tyagi, Ajith Abraham | 2022 | Academic Press | |
| 401 | Python Data Science: A Step-By-Step Guide to Data Analysis. What a Beginner Needs to Know About Machine Learning and Artificial Intelligence. Exercises Included | Axel Ross | 2022 | Axel Ross | |
| 402 | Dask: The Definitive Guide - Scalable Python Data Science with Dask (Early Release 1) | Matthew Rocklin, Matthew Powers, Richard Pelgrim | 2022 | O’Reilly Media, Inc. | |
| 403 | Dask: The Definitive Guide - Scalable Python Data Science with Dask (Early Release 1) | Matthew Rocklin, Matthew Powers, Richard Pelgrim | 2022 | O’Reilly Media, Inc. | |
| 404 | DATA SCIENCE WITH PYTHON | Wade Briggs | 2022 | Mario Feierabend | |
| 405 | Practical Data Privacy: Solving Privacy and Security Problems in Your Data Science Workflow (Fifth Early Release) | Katharine Jarmul | 2022 | O'Reilly Media, Inc. | |
| 406 | Proceedings of the International Conference on Paradigms of Communication, Computing and Data Sciences: PCCDS 2021 | Mohit Dua, Ankit Kumar Jain, Anupam Yadav, Nitin Kumar, Patrick Siarry | 2022 | Springer Singapore | |
| 407 | The Recent Advances in Transdisciplinary Data Science. First Southwest Data Science Conference, SDSC 2022 Waco, TX, USA, March 25–26, 2022 Revised Selected Papers | Henry Han, Erich Baker | 2022 | Springer | |
| 408 | Machine Learning, Image Processing, Network Security and Data Sciences. 4th International Conference, MIND 2022 Virtual Event, January 19–20, 2023 Proceedings | Nilay Khare, Deepak Singh Tomar, Mitul Kumar Ahirwal, Vijay Bhaskar Semwal, Vaibhav Soni | 2022 | Springer | |
| 409 | Data Science for IoT Engineers | P. G. Madhavan | 2022 | Mercury Learning and Information | |
| 410 | Data Science for IoT Engineers | P. G. Madhavan | 2022 | Mercury Learning and Information | |
| 411 | Data Science for IoT Engineers (Supplement) | P. G. Madhavan | 2022 | Mercury Learning and Information | |
| 412 | Data Science for IoT Engineers | P. G. Madhavan | 2022 | Mercury Learning and Information | |
| 413 | Adventures In Financial Data Science: The Empirical Properties Of Financial And Economic Data | Graham L. Giller | 2022 | World Scientific | |
| 414 | Mathematical Foundations of Data Science Using R | Frank Emmert-Streib; Salissou Moutari; Matthias Dehmer | 2022 | De Gruyter Oldenbourg | |
| 415 | Learning Data Science: Programming and Statistics Fundamentals Using Python (Seventh Early Release) | Sam Lau, Deborah Nolan, and Joseph Gonzalez | 2022 | O'Reilly Media, Inc. | |
| 416 | Geospatial Data Science in Healthcare for Society 5.0 | Pradeep Kumar Garg, Nitin K. Tripathi, Martin Kappas, Loveleen Gaur | 2022 | Springer | |
| 417 | Practitioner’s Guide to Data Science: Streamlining Data Science Solutions using Python, Scikit-Learn, and Azure ML Service Platform (English Edition) | Nasir Ali Mirza | 2022 | BPB Publications | |
| 418 | Effective Data Science Infrastructure: How to make data scientists productive | Ville Tuulos | 2022 | Manning | |
| 419 | Effective Data Science Infrastructure: How to make data scientists productive | Ville Tuulos | 2022 | Manning | |
| 420 | Adventures In Financial Data Science: The Empirical Properties Of Financial And Economic Data (Second Edition) | Graham L Giller | 2022 | World Scientific | |
| 421 | Encyclopedia of Data Science and Machine Learning (Advances in Data Mining and Database Management) [Team-IRA] | John Wang (editor) | 2022 | Engineering Science Reference | |
| 422 | Generative AI Art: A Beginner’s Guide to 10x Your Output with Killer Text Prompts (Midjourney, DALL-E 2, Craiyon) (AI, Data Science, Python & Statistics for Beginners) | Oliver Theobald | 2022 | Scatterplot Press | |
| 423 | Python Data Science Handbook | Jake VanderPlas | 2022 | O'Reilly Media | |
| 424 | Trends in Mathematical, Information and Data Sciences: A Tribute to Leandro Pardo | Narayanaswamy Balakrishnan (editor), María Ángeles Gil (editor), Nirian Martín (editor), Domingo Morales (editor), María del Carmen Pardo (editor) | 2022 | Springer | |
| 425 | Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan | Goran Trajkovski (editor), Marylee Demeter (editor), Heather Hayes (editor) | 2022 | Information Science Reference | |
| 426 | Advances on Intelligent Informatics and Computing: Health Informatics, Intelligent Systems, Data Science and Smart Computing (Lecture Notes on Data Engineering and Communications Technologies, 127) | Faisal Saeed (editor), Fathey Mohammed (editor), Fuad Ghaleb (editor) | 2022 | Springer | |
| 427 | Artificial Intelligence for Data Science in Theory and Practice | Mohamed Alloghani; Christopher Thron; Saad Subair | 2022 | Springer Nature | |
| 428 | Effective Data Science Infrastructure: How to Make Data Scientists Productive | Ville Tuulos | 2022 | Manning Publications | |
| 429 | Advances in Econometrics, Operational Research, Data Science and Actuarial Studies: Techniques and Theories (Contributions to Economics) | M. Kenan Terzio?lu (editor) | 2022 | Springer | |
| 430 | Data science : a first introduction | Tiffany Timbers, Trevor Campbell and Melissa Lee | 2022 | CRC | |
| 431 | Data Science in Engineering, Volume 9: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022 (Conference Proceedings of the Society for Experimental Mechanics Series) | Ramin Madarshahian (editor), Francois Hemez (editor) | 2022 | Springer | |
| 432 | Data Science-Based Full-Lifespan Management of Lithium-Ion Battery: Manufacturing, Operation and Reutilization (Green Energy and Technology) | Kailong Liu, Yujie Wang, Xin Lai | 2022 | Springer | |
| 433 | Data Science and Security: Proceedings of IDSCS 2022 (Lecture Notes in Networks and Systems, 462) | Samiksha Shukla (editor), Xiao-Zhi Gao (editor), Joseph Varghese Kureethara (editor), Durgesh Mishra (editor) | 2022 | Springer | |
| 434 | Data Science and Analytics for SMEs: Consulting, Tools, Practical Use Cases | Afolabi Ibukun Tolulope | 2022 | Apress | |
| 435 | Data Science: 8th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2022, Chengdu, China, August 19–22, 2022, Proceedings | Yang Wang (editor), Guobin Zhu (editor), Qilong Han (editor), Liehui Zhang (editor), Xianhua Song (editor), Zeguang Lu (editor) | 2022 | Springer | |
| 436 | Towards Net-Zero Targets: Usage of Data Science for Long-Term Sustainability Pathways (Advances in Sustainability Science and Technology) | Neha Sharma, Prithwis Kumar De | 2022 | Springer | |
| 437 | Machine Learning, Optimization, and Data Science: 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, ... Applications, incl. Internet/Web, and HCI) | Giuseppe Nicosia (editor), Varun Ojha (editor), Emanuele La Malfa (editor), Gabriele La Malfa (editor), Giorgio Jansen (editor), Panos M. Pardalos (editor), Giovanni Giuffrida (editor), Renato Umeton (editor) | 2022 | Springer | |
| 438 | Computational Intelligence in Data Science: 5th IFIP TC 12 International Conference, ICCIDS 2022, Virtual Event, March 24–26, 2022, Revised Selected ... and Communication Technology, 654) | Lekshmi Kalinathan (editor), Priyadharsini R. (editor), Madheswari Kanmani (editor), Manisha S. (editor) | 2022 | Springer | |
| 439 | Machine Intelligence and Data Science Applications: Proceedings of MIDAS 2021 | Vaclav Skala; T. P. Singh; Tanupriya Choudhury; Ravi Tomar; Md. Abul Bashar | 2022 | Springer Nature | |
| 440 | Geospatial Data Science in Healthcare for Society 5.0 (Disruptive Technologies and Digital Transformations for Society 5.0) | Pradeep Kumar Garg (editor), Nitin K. Tripathi (editor), Martin Kappas (editor), Loveleen Gaur (editor) | 2022 | Springer | |
| 441 | Statistics in the Public Interest: In Memory of Stephen E. Fienberg (Springer Series in the Data Sciences) | Alicia L. Carriquiry (editor), Judith M. Tanur (editor), William F. Eddy (editor) | 2022 | Springer | |
| 442 | Integrating Data Science and Earth Science: Challenges and Solutions (SpringerBriefs in Earth System Sciences) | Laurens M. Bouwer (editor), Doris Dransch (editor), Roland Ruhnke (editor), Diana Rechid (editor), Stephan Frickenhaus (editor), Jens Greinert (editor) | 2022 | Springer | |
| 443 | Optimization in Artificial Intelligence and Data Sciences: ODS, First Hybrid Conference, Rome, Italy, September 14-17, 2021 (AIRO Springer Series, 8) | Lavinia Amorosi (editor), Paolo Dell’Olmo (editor), Isabella Lari (editor) | 2022 | Springer | |
| 444 | R 4 Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages | Thomas Mailund | 2022 | Apress | |
| 445 | Proceedings of Academia-Industry Consortium for Data Science: AICDS 2020 (Advances in Intelligent Systems and Computing) | Gaurav Gupta (editor), Lipo Wang (editor), Anupam Yadav (editor), Puneet Rana (editor), Zhenyu Wang (editor) | 2022 | Springer | |
| 446 | Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing: IEM-ICDC 2021 (Algorithms for Intelligent Systems) | Lopa Mandal (editor), Joao Manuel R. S. Tavares (editor), Valentina E. Balas (editor) | 2022 | Springer | |
| 447 | Practical Linear Algebra for Data Science: From Core Concepts to Applications Using Python | Mike X Cohen | 2022 | O'Reilly Media | |
| 448 | Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning | Tshepo Chris Nokeri | 2021 | Apress | |
| 449 | Advances in Data Science: Methodologies and Applications | Gloria Phillips-Wren; Anna Esposito; Lakhmi C. Jain | 2021 | Springer Internationa | |
| 450 | Detecting regime change in computational finance: data science, machine learning and algorithmic trading | Chen, Jun; Tsang, Edward | 2021 | CRC Press | |
| 451 | Data Science in Education Using R | Ryan A. Estrellado , Emily A. Freer | 2021 | Routledge | |
| 452 | Data Science for Financial Econometrics | Nguyen Ngoc Thach, Vladik Kreinovich, Nguyen Duc Trung | 2021 | Springer | |
| 453 | Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines | Chris Fregly, Antje Barth | 2021 | O'Reilly Media | |
| 454 | ICT for Smart Water Systems: Measurements and Data Science | Andrea Scozzari, Steve Mounce, Dawei Han, Francesco Soldovieri, Dimitri Solomatine | 2021 | Springer | |
| 455 | Geographical Data Science and Spatial Data Analysis: An Introduction in R (Spatial Analytics and GIS) 1st Edition | Lex Comber | 2021 | | |
| 456 | Data Science for Beginners: Comprehensive Guide to Most Important Basics in Data Science | Campbell, Alex | 2021 | | |
| 457 | Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle | Ramcharan Kakarla, Sundar Krishnan, Sridhar Alla | 2021 | Apress | |
| 458 | Data Science and Digital Transformation in the Fourth Industrial Revolution | Jongbae Kim; Roger Lee | 2021 | Springer International Publishing | |
| 459 | Proceedings of International Conference on Data Science and Applications: ICDSA 2019 | Kanad Ray, Krishna Chandra Roy, Sandeep Kumar Toshniwal, Harish Sharma, Anirban Bandyopadhyay | 2021 | Springer Singapore;Springer | |
| 460 | Data Science and Social Research II: Methods, Technologies and Applications | Paolo Mariani, Mariangela Zenga | 2021 | Springer International Publishing;Springer | |
| 461 | Data Science and Intelligent Applications: Proceedings of ICDSIA 2020 | Ketan Kotecha, Vincenzo Piuri, Hetalkumar N. Shah, Rajan Patel | 2021 | Springer Singapore;Springer | |
| 462 | ICT for Smart Water Systems: Measurements and Data Science | Andrea Scozzari, Steve Mounce, Dawei Han, Francesco Soldovieri, Dimitri Solomatine | 2021 | Springer International Publishing;Springer | |
| 463 | Cross Reality and Data Science in Engineering: Proceedings of the 17th International Conference on Remote Engineering and Virtual Instrumentation | Michael E. Auer, Dominik May | 2021 | Springer International Publishing;Springer | |
| 464 | Advances in Data Science: Methodologies and Applications | Gloria Phillips-Wren, Anna Esposito, Lakhmi C. Jain | 2021 | Springer International Publishing;Springer | |
| 465 | Enabling AI Applications in Data Science | Aboul-Ella Hassanien, Mohamed Hamed N. Taha, Nour Eldeen M. Khalifa | 2021 | Springer International Publishing;Springer | |
| 466 | Python For Data Analysis: The Ultimate and Definitive Manual to Learn Data Science and Coding With Python. Master The basics of Machine Learning, to Clean Code and Improve Artificial Intelligence | Algore, Matt | 2021 | | |
| 467 | Big Data Science in Finance | Irene Aldridge; Marco Avellaneda | 2021 | | |
| 468 | Big Data Science in Finance | Irene Aldridge; Marco Avellaneda | 2021 | | |
| 469 | Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, and Neural Networks | Jalil Villalobos Alva | 2021 | Apress | |
| 470 | Beginning Mathematica and Wolfram for Data Science: Applications in Data Analysis, Machine Learning, and Neural Networks | Jalil Villalobos Alva | 2021 | Apress | |
| 471 | A Tour Of Data Science: Learn R And Python In Parallel | Nailong Zhang | 2021 | CRC Press/Taylor & Francis Group | |
| 472 | Programming for Beginners: 3 Manuscripts: The Complete Guide to Learning Python Crash Course, Python Machine Learning and Python Data Science in a Week | Lee, Andrew | 2021 | | |
| 473 | Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning | Tshepo Chris Nokeri | 2021 | Apress | |
| 474 | Learning in Python: Study Data Science and Machine Learning including Modern Neural Networks produced in Python, Theano, and TensorFlow | K, K.M. | 2021 | | |
| 475 | Python for Data Science: The Ultimate Step-by-Step Guide to Learn Python In 7 Days & NLP, Data Science from with Python (Master The basics of Data Science and Improve Artificial Intelligence) | Wilson, Richard | 2021 | | |
| 476 | Information Theoretic Methods in Data Science | | 2021 | | |
| 477 | Cleaning Data for Effective Data Science: Doing the other 80% of the work with Python, R, and command-line tools | David Mertz | 2021 | Packt Publishing - ebooks Account | |
| 478 | Cleaning Data for Effective Data Science: Doing the other 80% of the work with Python, R, and command-line tools | David Mertz | 2021 | Packt Publishing - ebooks Account | |
| 479 | Doing Data Science in R: An Introduction for Social Scientists | Mark Andrews | 2021 | SAGE Publications Ltd | |
| 480 | Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning | Alex J. Gutman, Jordan Goldmeier | 2021 | Wiley | |
| 481 | Provenance in Data Science: From Data Models to Context-Aware Knowledge Graphs | Leslie F. Sikos, Oshani W. Seneviratne, Deborah L. McGuinness (editors) | 2021 | Springer Nature | |
| 482 | Provenance in Data Science: From Data Models to Context-Aware Knowledge Graphs | Leslie F. Sikos, Oshani W. Seneviratne, Deborah L. McGuinness (editors) | 2021 | Springer Nature | |
| 483 | Everyday Data Science: Optimize Your Life | Andrew N Carr | 2021 | Independently published | |
| 484 | Hands-On Data Analysis with Pandas: A Python data science handbook for data collection, wrangling, analysis, and visualization | Stefanie Molin | 2021 | Packt Publishing | |
| 485 | Data Science For Fake News: Surveys And Perspectives | Deepak P, Tanmoy Chakraborty, Cheng Long, Santhosh Kumar G | 2021 | Springer | |
| 486 | Responsible Data Science | Grant Fleming; Peter C. Bruce | 2021 | Wiley | |
| 487 | Responsible Data Science | Grant Fleming; Peter C. Bruce | 2021 | Wiley | |
| 488 | Big Data Science in Finance | Irene Aldridge, Marco Avellaneda | 2021 | Wiley | |
| 489 | Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences: PCCDS 2020 | Mayank Dave, Ritu Garg, Mohit Dua, Jemal Hussien | 2021 | Springer | |
| 490 | Machine Learning and Data Science in the Oil and Gas Industry: Best Practices, Tools, and Case Studies | Patrick Bangert | 2021 | Gulf Professional Publishing | |
| 491 | Data Science for Business With R | Jeffrey S. Saltz, Jeffrey Morgan Stanton | 2021 | SAGE Publications | |
| 492 | Proceedings of International Conference on Machine Intelligence and Data Science Applications: MIDAS 2020 | Manish Prateek, T. P. Singh, Tanupriya Choudhury, Hari Mohan Pandey, Nguyen Gia Nhu | 2021 | Springer | |
| 493 | Innovative Systems for Intelligent Health Informatics: Data Science, Health Informatics, Intelligent Systems, Smart Computing | Faisal Saeed, Fathey Mohammed, Abdulaziz Al-Nahari | 2021 | Springer | |
| 494 | Statistics for Health Data Science: An Organic Approach | Ruth Etzioni, Micha Mandel, Roman Gulati | 2021 | Springer | |
| 495 | Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines | Chris Fregly, Antje Barth | 2021 | O'Reilly Media | |
| 496 | Data Science for COVID-19, Vol. 1: Computational Perspectives | Utku Kose (editor), Deepak Gupta (editor), Victor Hugo Costa de Albuquerque (editor), Ashish Khanna (editor) | 2021 | Academic Press | |
| 497 | Data Science Advancements in Pandemic and Outbreak Management | Eleana Asimakopoulou (editor), Nik Bessis (editor) | 2021 | Engineering Science Reference | |
| 498 | Data Science Advancements in Pandemic and Outbreak Management | Eleana Asimakopoulou (editor), Nik Bessis (editor) | 2021 | Engineering Science Reference | |
| 499 | Data Science Applied to Sustainability Analysis | Jennifer B. Dunn; Prasanna Balaprakash | 2021 | Elsevier Inc. | |
| 500 | Data Science Applied to Sustainability Analysis | Jennifer Dunn; Prasanna Balaprakash | 2021 | Elsevier | |
| 501 | An Introduction to IoT Analytics (Chapman & Hall/CRC Data Science Series) | Harry G. Perros | 2021 | Chapman and Hall/CRC | |
| 502 | The Era of Artificial Intelligence, Machine Learning, and Data Science in the Pharmaceutical Industry | Stephanie K. Ashenden (editor) | 2021 | Academic Press | |
| 503 | Data science and digital transformation in the fourth industrial revolution | Jongbae Kim (editor); Roger Lee (editor) | 2021 | Springer | |
| 504 | Data Science and Big Data Analytics in Smart Environments | Marta Chinnici (editor), Florin Pop (editor), Catalin Negru (editor) | 2021 | CRC Press | |
| 505 | Data Science Techniques for Cryptocurrency Blockchains | Innar Liiv | 2021 | Springer Nature | |
| 506 | Advances in Artificial Intelligence, Computation, and Data Science: For Medicine and Life Science | Tuan D. Pham, Hong Yan, Muhammad W. Ashraf, Folke Sjöberg | 2021 | Springer | |
| 507 | Data Science and Its Applications | Aakanksha Sharaff, G. R. Sinha | 2021 | CRC Press | |
| 508 | Advances in Artificial Intelligence, Computation, and Data Science: For Medicine and Life Science | Tuan D. Pham (editor), Hong Yan (editor), Muhammad W. Ashraf (editor), Folke Sjöberg (editor) | 2021 | Springer | |
| 509 | Advances in Artificial Intelligence, Computation, and Data Science: For Medicine and Life Science (Computational Biology) | Tuan D. Pham (editor), Hong Yan (editor), Muhammad W. Ashraf (editor), Folke Sjöberg (editor) | 2021 | Springer | |
| 510 | Advances in Artificial Intelligence, Computation, and Data Science: For Medicine and Life Science (Computational Biology) | Tuan D. Pham (editor), Hong Yan (editor), Muhammad W. Ashraf (editor), Folke Sjöberg (editor) | 2021 | Springer | |
| 511 | Data Science Desktop Survival Guide | G J Williams | 2021 | | |
| 512 | Data Science for Supply Chain Forecasting | Nicolas Vandeput | 2021 | De Gruyter | |
| 513 | Data Science for Supply Chain Forecasting | Nicolas Vandeput | 2021 | De Gruyter | |
| 514 | Machine Learning and Data Science in the Power Generation Industry: Best Practices, Tools, and Case Studies | Patrick Bangert (ed.) | 2021 | Elsevier | |
| 515 | Becoming a Data Head: How to Think, Speak, and Understand Data Science, Statistics, and Machine Learning | Alex J. Gutman, Jordan Goldmeier | 2021 | Wiley | |
| 516 | Reciprocity Evolution and Decision Games in Network and Data Science. | coll. | 2021 | | |
| 517 | Reciprocity, Evolution, and Decision Games in Network and Data Science | Yan Chen, Chih-Yu Wang, Chunxiao Jiang, K.J. Ray Liu | 2021 | Cambridge University Press | |
| 518 | Data Science Fight Academy | Fight Academy | 2021 | Fight Academy | |
| 519 | Public Policy Analytics: Code and Context for Data Science in Government | Ken Steif | 2021 | CRC Press | |
| 520 | Advances in Data Science and Intelligent Data Communication Technologies for COVID-19: Innovative Solutions Against COVID-19 | Aboul-Ella Hassanien; Sally M. Elghamrawy; Ivan Zelinka | 2021 | Springer | |
| 521 | Advances in Data Science and Intelligent Data Communication Technologies for Covid-19: Innovative Solutions Against Covid-19 | Aboul-Ella Hassanien; Sally M Elghamrawy; Ivan Zelinka | 2021 | Springer | |
| 522 | Data Science Projects with Python: A case study approach to gaining valuable insights from real data with machine learning | Stephen Klosterman | 2021 | Packt Publishing | |
| 523 | Data Science Projects with Python: A case study approach to gaining valuable insights from real data with machine learning, 2nd Edition | Stephen Klosterman | 2021 | Packt Publishing | |
| 524 | Data Science Projects with Python | Stephan Klosterman | 2021 | Packt Publishing Pvt. Ltd. | |
| 525 | Essentials of Data Science and Analytics | Dr. Amar Sahay | 2021 | Business Expert Press | |
| 526 | Python: 3 books in 1 : Python basics for Beginners + Python Automation Techniques And Web Scraping + Python For Data Science And Machine Learning | Vickler, Andy | 2021 | | |
| 527 | Python: Python For Data Science And Machine Learning | Vickler, Andy | 2021 | | |
| 528 | Data Science on AWS: Implementing End-to-End, Continuous AI and Machine Learning Pipelines | Chris Fregly, Antje Barth | 2021 | O'Reilly Media | |
| 529 | It's All Analytics - Part II: Designing an Integrated AI, Analytics, and Data Science Architecture for Your Organization | Scott Burk, David Sweenor, Gary Miner | 2021 | Routledge | |
| 530 | Cloud Computing for Data Analysis The missing semester of Data Science | Noah Gift | 2021 | Leanpub book | |
| 531 | It's All Analytics - Part II: Designing an Integrated AI, Analytics, and Data Science Architecture for Your Organization | Scott Burk, David Sweenor, Gary Miner | 2021 | Productivity Press | |
| 532 | Introduction to Statistical and Machine Learning Methods for Data Science | Carlos Reis Pinheiro; Mike Patetta | 2021 | SAS Institute | |
| 533 | Building and Leading Data Science and Analytics Teams | Jeremy Adamson | 2021 | | |
| 534 | Data Science and Data Analytics: Opportunities and Challenges | Amit Kumar Tyagi | 2021 | Chapman and Hall/CRC | |
| 535 | Data Science and Data Analytics: Opportunities and Challenges | Amit Kumar Tyagi (editor) | 2021 | Chapman and Hall/CRC | |
| 536 | Fundamentals of Data Science | Sanjeev J. Wagh, Manisha S. Bhende, Anuradha D. Thakare | 2021 | Chapman and Hall/CRC | |
| 537 | Data Science and Innovations for Intelligent Systems: Computational Excellence and Society 5.0 (Demystifying Technologies for Computational Excellence) | Kavita Taneja (editor), Harmunish Taneja (editor), Kuldeep Kumar (editor), Arvind Selwal (editor), Eng Lieh Ouh (editor) | 2021 | CRC Press | |
| 538 | Data Science and SDGs: Challenges, Opportunities and Realities | Bikas Kumar Sinha, Nurul Haque Mollah | 2021 | Springer | |
| 539 | Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools | Jeroen Janssens | 2021 | O'Reilly Media, Inc, USA | |
| 540 | Essentials of Data Science and Analytics | Dr. Amar Sahay | 2021 | Business Expert Press | |
| 541 | Essentials of Data Science and Analytics: Statistical Tools, Machine Learning, and R-Statistical Software Overview | Sahay. Amar (author) | 2021 | Business Expert Press | |
| 542 | Introduction to Statistical and Machine Learning Methods for Data Science | Dr. Carlos Andre Reis Andre Reis Pinheiro, Mike Patetta | 2021 | SAS Institute | |
| 543 | Data Science: Theory, Algorithms, and Applications (Transactions on Computer Systems and Networks) | Gyanendra K. Verma (editor), Badal Soni (editor), Salah Bourennane (editor), Alexandre C. B. Ramos (editor) | 2021 | Springer | |
| 544 | Getting Started with Streamlit for Data Science: Create and deploy Streamlit web applications from scratch in Python | Tyler Richards | 2021 | Packt Publishing | |
| 545 | Getting Started with Streamlit for Data Science | Tyler Richards | 2021 | Packt Publishing Pvt. Ltd. | |
| 546 | Roman's Data Science: How to monetize your data | Zykov, Roman | 2021 | | |
| 547 | For High Performance Computing, Deep Neural Networks and Data Science | Junichiro Makino | 2021 | Springer International Publishing | |
| 548 | Principles of High-Performance Processor Design: For High Performance Computing, Deep Neural Networks and Data Science | Junichiro Makino | 2021 | Springer | |
| 549 | Getting Started with Streamlit for Data Science: Create and deploy Streamlit web applications from scratch in Python | Tyler Richards | 2021 | Packt Publishing | |
| 550 | Data Science For Dummies | Lillian Pierson | 2021 | For Dummies | |
| 551 | Data Science For Dummies | Lillian Pierson | 2021 | For Dummies | |
| 552 | Data Science and Security: Proceedings of IDSCS 2021 | Samiksha Shukla, Aynur Unal, Joseph Varghese Kureethara, Durgesh Kumar Mishra, Dong Seog Han | 2021 | Springer | |
| 553 | Data Science and Security: Proceedings of IDSCS 2021 | Samiksha Shukla, Aynur Unal, Joseph Varghese Kureethara, Durgesh Kumar Mishra, Dong Seog Han | 2021 | Springer | |
| 554 | Data-Driven Evolutionary Optimization: Integrating Evolutionary Computation, Machine Learning and Data Science (Studies in Computational Intelligence, 975) | Yaochu Jin, Handing Wang, Chaoli Sun | 2021 | Springer | |
| 555 | Data Science and Security: Proceedings of IDSCS 2021 (Lecture Notes in Networks and Systems, 290) | Samiksha Shukla (editor), Aynur Unal (editor), Joseph Varghese Kureethara (editor), Durgesh Kumar Mishra (editor), Dong Seog Han (editor) | 2021 | Springer | |
| 556 | Python for Beginners: Comprehensive Guide to the Basics of Programming, Machine Learning, Data Science and Analysis with Python. | Campbell , Alex | 2021 | | |
| 557 | Python for Beginners: Comprehensive Guide to the Basics of Programming, Machine Learning, Data Science and Analysis with Python. | Campbell , Alex | 2021 | | |
| 558 | Communicating with Data: The Art of Writing for Data Science | Nolan,Deborah; Stoudt , Sara | 2021 | OUP Oxford | |
| 559 | Minding the Machines: Building and Leading Data Science and Analytics Teams | Jeremy Adamson | 2021 | Wiley | |
| 560 | Data Science For Dummies | Lillian Pierson | 2021 | For Dummies | |
| 561 | Data Science for Public Policy (Springer Series in the Data Sciences) | Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall | 2021 | Springer | |
| 562 | Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools | Jeroen Janssens | 2021 | O'Reilly Media | |
| 563 | Data Science at the Command Line: Obtain, Scrub, Explore, and Model Data with Unix Power Tools | Jeroen Janssens | 2021 | O'Reilly Media | |
| 564 | Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence | Yoni Nazarathy; Hayden Klok | 2021 | Springer Cham | |
| 565 | Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence | Yoni Nazarathy, Hayden Klok | 2021 | Springer Cham | |
| 566 | Foundations of Data Science for Engineering Problem Solving (Studies in Big Data, 94) | Parikshit Narendra Mahalle, Gitanjali Rahul Shinde, Priya Dudhale Pise, Jyoti Yogesh Deshmukh | 2021 | Springer | |
| 567 | Python for Data Science : Clear and Complete Guide to Data Science and Analysis with Python | Alex Campbell | 2021 | | |
| 568 | Essentials of Data Science and Analytics: Statistical Tools, Machine Learning, and R-Statistical Software Overview | Amar Sahay | 2021 | Business Expert Press | |
| 569 | Data Science for Business With R | Jeffrey S. Saltz, Jeffrey Morgan Stanton | 2021 | SAGE Publications | |
| 570 | Doing Data Science in R: An Introduction for Social Scientists | Mark Andrews | 2021 | SAGE Publications Ltd | |
| 571 | Data Science for Marketing Analytics: A practical guide to forming a killer marketing strategy through data analysis with Python, 2nd Edition | Mirza Rahim Baig, Gururajan Govindan, Vishwesh Ravi Shrimali | 2021 | Packt Publishing | |
| 572 | Data Science for Marketing Analytics: A practical guide to forming a killer marketing strategy through data analysis with Python, 2nd Edition | Mirza Rahim Baig, Gururajan Govindan, Vishwesh Ravi Shrimali | 2021 | Packt Publishing | |
| 573 | Data Analysis and Machine Learning with Kaggle: How to win competitions on Kaggle and build a successful career in data science | Konrad Banachewicz | 2021 | Packt Publishing - ebooks Account | |
| 574 | Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading | Jun Chen, Edward P.K. Tsang | 2021 | CRC Press | |
| 575 | Data Science: 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021, Taiyuan, China, September 17–20, ... in Computer and Information Science, 1452) | Jianchao Zeng, Pinle Qin, Weipeng Jing, Xianhua Song, Zeguang Lu | 2021 | Springer | |
| 576 | Data Science: 7th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2021, Taiyuan, China, September 17–20, ... in Computer and Information Science, 1452) | Jianchao Zeng, Pinle Qin, Weipeng Jing, Xianhua Song, Zeguang Lu | 2021 | Springer | |
| 577 | Artificial Intelligence, Machine Learning, and Data Science Technologies: Future Impact and Well-Being for Society 5.0 (Demystifying Technologies for Computational Excellence) | Neeraj Mohan (editor), Ruchi Singla (editor), Priyanka Kaushal (editor), Seifedine Kadry (editor) | 2021 | CRC Press | |
| 578 | Python Crash Course For Beginners Master Data Analysis Data Science Machine Learning. | Mark Lutz | 2021 | | |
| 579 | Practical Data Science with Jupyter: Explore Data Cleaning, Pre-processing, Data Wrangling, Feature Engineering and Machine Learning using Python and Jupyter (English Edition) | PRATEEK GUPTA | 2021 | BPB Publications | |
| 580 | The Ultimate Guide on Cybersecurity + Data Science: 2 Books in 1. From Big Data to Knowledge Management + Data Analytics with R and the Blockchain for Your Business Success | Adam Walker, Keith Hughes | 2021 | | |
| 581 | Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python | François Voron | 2021 | Packt Publishing | |
| 582 | Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python | François Voron | 2021 | Packt Publishing | |
| 583 | Data Science Without Makeup | Zhilkin, Mikhail; | 2021 | CRC Press LLC | |
| 584 | Guide to Industrial Analytics: Solving Data Science Problems for Manufacturing and the Internet of Things | Richard Hill, Stuart Berry | 2021 | Springer | |
| 585 | Guide to Industrial Analytics: Solving Data Science Problems for Manufacturing and the Internet of Things | Richard Hill, Stuart Berry | 2021 | Springer | |
| 586 | Intelligent Computing and Innovation on Data Science: Proceedings of ICTIDS 2021 (Lecture Notes in Networks and Systems, 248) | Sheng-Lung Peng (editor), Sun-Yuan Hsieh (editor), Suseendran Gopalakrishnan (editor), Balaganesh Duraisamy (editor) | 2021 | Springer | |
| 587 | Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets | Maria C. Mariani, Osei Kofi Tweneboah, Maria Pia Beccar-Varela | 2021 | Wiley | |
| 588 | Cybersecurity Data Science: Best Practices in an Emerging Profession | Scott Mongeau, Andrzej Hajdasinski | 2021 | Springer | |
| 589 | Cybersecurity Data Science: Best Practices in an Emerging Profession | Scott Mongeau, Andrzej Hajdasinski | 2021 | Springer | |
| 590 | Data Science in Engineering, Volume 9: Proceedings of the 39th IMAC, A Conference and Exposition on Structural Dynamics 2021 (Conference Proceedings of the Society for Experimental Mechanics Series) | Ramin Madarshahian (editor), Francois Hemez (editor) | 2021 | Springer | |
| 591 | Hands on Data Science for Biologists Using Python | Yasha Hasija, Rajkumar Chakraborty | 2021 | CRC Press | |
| 592 | Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud, Global Edition | Paul Deitel | 2021 | Pearson | |
| 593 | Data Science in Agriculture and Natural Resource Management | G. P. Obi Reddy, Mehul S. Raval, J. Adinarayana, Sanjay Chaudhary | 2021 | Springer | |
| 594 | Data Science in Agriculture and Natural Resource Management | G. P. Obi Reddy, Mehul S. Raval, J. Adinarayana, Sanjay Chaudhary | 2021 | Springer | |
| 595 | Measurement and Data Science. | Gábor Péceli | 2021 | Cambridge Scholars Publisher | |
| 596 | Practical Data Science with Python: Learn tools and techniques from hands-on examples to extract insights from data | Nathan George | 2021 | Packt Publishing | |
| 597 | Practical Data Science with Python: Learn tools and techniques from hands-on examples to extract insights from data | Nathan George | 2021 | Packt Publishing | |
| 598 | Measurement and Data Science | Gábor Péceli | 2021 | Cambridge Scholars Publishing | |
| 599 | Game Data Science | Magy Seif El-Nasr, Truong-Huy D. Nguyen, Alessandro Canossa, Anders Drachen | 2021 | Oxford University Press | |
| 600 | Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets | Maria C. Mariani | 2021 | Wiley | |
| 601 | Data Science Solutions with Python: Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn | Tshepo Chris Nokeri | 2021 | Apress | |
| 602 | Data Science Solutions with Python: Fast and Scalable Models Using Keras, PySpark MLlib, H2O, XGBoost, and Scikit-Learn | Tshepo Chris Nokeri | 2021 | Apress | |
| 603 | Data Science Bookcamp: Five real-world Python projects | Leonard Apeltsin | 2021 | Manning Publications | |
| 604 | Cybersecurity Data Science Best Practices in an Emerging Profession | Scott Mongeau, Andrzej Hajdasinski | 2021 | Springer | |
| 605 | Guide to industrial analytics : solving data science problems for manufacturing and the internet of things | Richard Hill, Stuart Berry | 2021 | Springer | |
| 606 | Intelligent Security Systems. How Artificial Intelligence, Machine Learning and Data Science Work For and Against Computer Security | Leon Reznik | 2021 | IEEE Press, Wiley Blackwell | |
| 607 | Intelligent Security Systems. How Artificial Intelligence, Machine Learning and Data Science Work For and Against Computer Security | Leon Reznik | 2021 | IEEE Press, Wiley Blackwell | |
| 608 | Econometrics and Data Science: Apply Data Science Techniques to Model Complex Problems and Implement Solutions for Economic Problems | Tshepo Chris Nokeri | 2021 | Apress | |
| 609 | Econometrics and Data Science: Apply Data Science Techniques to Model Complex Problems and Implement Solutions for Economic Problems | Tshepo Chris Nokeri | 2021 | Apress | |
| 610 | Intelligent Security Systems: How Artificial Intelligence, Machine Learning and Data Science Work For and Against Computer Security | Leon Reznik | 2021 | Wiley-IEEE Press | |
| 611 | Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series) | Emil Hvitfeldt, Julia Silge | 2021 | Chapman and Hall/CRC | |
| 612 | Supervised Machine Learning for Text Analysis in R (Chapman & Hall/CRC Data Science Series) | Emil Hvitfeldt, Julia Silge | 2021 | Chapman and Hall/CRC | |
| 613 | Physics of Data Science and Machine Learning | Ijaz A. Rauf | 2021 | CRC Press | |
| 614 | Data Science with R for Psychologists and Healthcare Professionals | Christian Ryan | 2021 | CRC Press | |
| 615 | Cleaning Data for Effective Data Science: Doing the other 80% of the work with Python, R, and command-line tools. Code | David Mertz | 2021 | Packt Publishing | |
| 616 | Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing | Sujata Dash (editor), Subhendu Kumar Pani (editor), Ajith Abraham (editor), Yulan Liang (editor) | 2021 | Springer | |
| 617 | Data Science and Digital Transformation in the Fourth Industrial Revolution (Studies in Computational Intelligence, 929) | Jongbae Kim (editor), Roger Lee (editor) | 2021 | Springer | |
| 618 | Cognitive Big Data Intelligence with a Metaheuristic Approach (Cognitive Data Science in Sustainable Computing) | Sushruta Mishra (editor), Hrudaya Kumar Tripathy (editor), Pradeep Kumar Mallick (editor), Arun Kumar Sangaiah (editor), Gyoo-Soo Chae (editor) | 2021 | Academic Press | |
| 619 | Cognitive Big Data Intelligence with a Metaheuristic Approach (Cognitive Data Science in Sustainable Computing) | Sushruta Mishra (editor), Hrudaya Kumar Tripathy (editor), Pradeep Kumar Mallick (editor), Arun Kumar Sangaiah (editor), Gyoo-Soo Chae (editor) | 2021 | Academic Press | |
| 620 | Practical Data Science with Jupyter | Prateek Gupta | 2021 | BPB Publications | |
| 621 | The Big R-Book. From Data Science to Learning Machines and Big Data | Philippe J.S. De Brouwer | 2021 | Wiley | |
| 622 | Advances in Data Science and Information Engineering: Proceedings from ICDATA 2020 and IKE 2020 (Transactions on Computational Science and Computational Intelligence) | Robert Stahlbock (editor), Gary M. Weiss (editor), Mahmoud Abou-Nasr (editor), Cheng-Ying Yang (editor), Hamid R. Arabnia (editor), Leonidas Deligiannidis (editor) | 2021 | Springer | |
| 623 | Introduction to Probability for Data Science | Stanley H. Chan | 2021 | Michigan Publishing | |
| 624 | Data Science and Intelligent Systems: Proceedings of 5th Computational Methods in Systems and Software 2021, Vol. 2 (Lecture Notes in Networks and Systems, 231) | Radek Silhavy (editor), Petr Silhavy (editor), Zdenka Prokopova (editor) | 2021 | Springer | |
| 625 | Ultimate Step by Step Guide to Data Science Using Python: Real Word Use Cases with Downloadable Code Examples (Ultimate Step by Step Guide to Machine Learning Book 3) | Daneyal Anis | 2021 | | |
| 626 | Enabling Machine Learning Applications in Data Science: Proceedings of Arab Conference for Emerging Technologies 2020 | Aboul Ella Hassanien (editor), Ashraf Darwish (editor), Sherine M. Abd El-Kader (editor), Dabiah Ahmed Alboaneen (editor) | 2021 | Springer | |
| 627 | Data Science and Multiple Criteria Decision Making Approaches in Finance: Applications and Methods | Gökhan Silahtaro?lu, Hasan Dinçer, Serhat Yüksel | 2021 | Springer | |
| 628 | Data Science and Multiple Criteria Decision Making Approaches in Finance: Applications and Methods | Gökhan Silahtaro?lu, Hasan Dinçer, Serhat Yüksel | 2021 | Springer | |
| 629 | Building an Effective Data Science Practice: A Framework to Bootstrap and Manage a Successful Data Science Practice | Vineet Raina, Srinath Krishnamurthy | 2021 | Apress | |
| 630 | Building an Effective Data Science Practice: A Framework to Bootstrap and Manage a Successful Data Science Practice | Vineet Raina, Srinath Krishnamurthy | 2021 | Apress | |
| 631 | How to Lead in Data Science | Jike Chong, Yue Cathy Chang | 2021 | Manning | |
| 632 | Industry 4.0, AI, and Data Science: Research Trends and Challenges | Vikram Bali (editor), Kakoli Banerjee (editor), Narendra Kumar (editor), Sanjay Gour (editor), Sunil Kumar Chawla (editor) | 2021 | CRC Press | |
| 633 | Data Science: Time Complexity, Inferential Uncertainty, and Spacekime Analytics | Ivo D. Dinov, Milen Velchev Velev | 2021 | De Gruyter | |
| 634 | Computational Intelligence in Data Science: 4th IFIP TC 12 International Conference, ICCIDS 2021, Chennai, India, March 18–20, 2021, Revised Selected Papers ... and Communication Technology Book 611) | Vallidevi Krishnamurthy, Suresh Jaganathan, Kanchana Rajaram, Saraswathi Shunmuganathan | 2021 | Springer | |
| 635 | Computational Intelligence in Data Science: 4th IFIP TC 12 International Conference, ICCIDS 2021, Chennai, India, March 18–20, 2021, Revised Selected ... and Communication Technology, 611) | Vallidevi Krishnamurthy (editor), Suresh Jaganathan (editor), Kanchana Rajaram (editor), Saraswathi Shunmuganathan (editor) | 2021 | Springer | |
| 636 | Validity, Reliability, and Significance: Empirical Methods for Nlp and Data Science | Stefan Riezler, Michael Hagmann | 2021 | Morgan & Claypool | |
| 637 | Hands-On Data Analysis with Pandas: A Python data science handbook for data collection, wrangling, analysis, and visualization, 2nd Edition | Stefanie Molin | 2021 | Packt Publishing | |
| 638 | Data Science for Economics and Finance: Methodologies and Applications | Sergio Consoli (editor), Diego Reforgiato Recupero (editor), Michaela Saisana (editor) | 2021 | Springer | |
| 639 | Data Science for Economics and Finance: Methodologies and Applications | Sergio Consoli (editor), Diego Reforgiato Recupero (editor), Michaela Saisana (editor) | 2021 | Springer | |
| 640 | Data Science Fundamentals Pocket Primer | Oswald Campesato | 2021 | Mercury Learning and Information | |
| 641 | On the Epistemology of Data Science: Conceptual Tools for a New Inductivism | Wolfgang Pietsch | 2021 | Springer | |
| 642 | Data Science with Raspberry Pi: Real-Time Applications Using a Localized Cloud | K. Mohaideen Abdul Kadhar | 2021 | Apress | |
| 643 | Data Science with Raspberry Pi: Real-Time Applications Using a Localized Cloud | K. Mohaideen Abdul Kadhar | 2021 | Apress | |
| 644 | Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science) | Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton | 2021 | Chapman and Hall/CRC | |
| 645 | Modern Data Science with R (Chapman & Hall/CRC Texts in Statistical Science) | Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton | 2021 | Chapman and Hall/CRC | |
| 646 | Structural Health Monitoring Based on Data Science Techniques | Alexandre Cury, Diogo Ribeiro, Filippo Ubertini, Michael D. Todd | 2021 | Springer | |
| 647 | Modern data science with R | Benjamin S. Baumer | 2021 | CRC Press | |
| 648 | Data Science for IoT Engineers: A Systems Analytics Approach | P. G. Madhavan Ph.D. | 2021 | Mercury Learning and Information | |
| 649 | LearnData Science with R | Narayana Nemani | 2021 | | |
| 650 | Logics for Computer and Data Sciences, and Artificial Intelligence | Lech T. Polkowski | 2021 | Springer | |
| 651 | Advances in Data Science | Ilke Demir, Yifei Lou, Xu Wang, Kathrin Welker | 2021 | Springer | |
| 652 | Artificial Intelligence, Machine Learning, and Data Science Technologies: Future Impact and Well-Being for Society 5.0 | Neeraj Mohan, Ruchi Singla, Priyanka Kaushal, Seifedine Kadry | 2021 | CRC Press | |
| 653 | Handbook of Computational Social Science, Volume 2: Data Science, Statistical Modelling, and Machine Learning Methods | Uwe Engel, Anabel Quan-Haase, Sunny Liu, Lars Lyberg | 2021 | Routledge | |
| 654 | Handbook of Computational Statistics and Data Science (2021) [et al] [] | Piegorsch | 2021 | | |
| 655 | On the Epistemology of Data Science: Conceptual Tools for a New Inductivism (Philosophical Studies Series, 148) | Wolfgang Pietsch | 2021 | Springer | |
| 656 | Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics | Pelin Yildirim Taser | 2021 | Information Science Reference | |
| 657 | Cognitive Systems and Signal Processing in Image Processing (Cognitive Data Science in Sustainable Computing) | Yu-Dong Zhang (editor), Arun Kumar Sangaiah (editor) | 2021 | Academic Press | |
| 658 | Data Science For Dummies | Lillian Pierson | 2021 | Wiley | |
| 659 | Emerging Trends in Iot and Integration With Data Science, Cloud Computing, and Big Data Analytics | Pelin Taser, Muthu Ramachandran | 2021 | Information Science Reference | |
| 660 | Reciprocity, Evolution, and Decision Games in Network and Data Science | Yan Chen, Chih-Yu Wang, Chunxiao Jiang, K. J. Ray Liu | 2021 | Cambridge University Press | |
| 661 | Data Science: Theory and Applications (Volume 44) (Handbook of Statistics, Volume 44) | Arni S.R. Srinivasa Rao (editor), C.R. Rao (editor) | 2021 | North Holland | |
| 662 | Machine Learning, Optimization, and Data Science: 6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part II | Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos Pardalos, Giovanni Giuffrida, Renato Umeton | 2021 | Springer | |
| 663 | Data Science: Time Complexity, Inferential Uncertainty, and Spacekime Analytics | Ivo D. Dinov; Milen Velchev Velev | 2021 | De Gruyter | |
| 664 | Tidyverse Skills for Data Science in R | Carrie Wright, Shannon Ellis, Stephanie Hicks, Roger D. Peng | 2021 | Leanpub | |
| 665 | Statistics for Health Data Science: An Organic Approach | Ruth Etzioni; Micha Mandel; Roman Gulati | 2021 | Springer Nature | |
| 666 | Data Science for Nano Image Analysis (International Series in Operations Research & Management Science, 308) | Chiwoo Park, Yu Ding | 2021 | Springer | |
| 667 | Statistical Foundations, Reasoning and Inference: For Science and Data Science (Springer Series in Statistics) | Göran Kauermann, Helmut Küchenhoff, Christian Heumann | 2021 | Springer | |
| 668 | Survival Analysis: Proportional and Non-Proportional Hazards Regression (Springer the Data Sciences) | John O'Quigley | 2021 | Springer | |
| 669 | DATA SCIENCE WORKSHOP: Cervical Cancer Classification and Prediction Using Machine Learning and Deep Learning with Python GUI | Vivian Siahaan, Rismon Sianipar | 2021 | BALIGE PUBLISHING | |
| 670 | Statistics and Data Science for Teachers | Anna Bargagliotti and Christine Franklin | 2021 | American Statistical Association | |
| 671 | Becoming a Data Head: How to Think, Speak and Understand Data Science, Statistics and Machine Learning | Alex J. Gutman, Jordan Goldmeier | 2021 | Wiley | |
| 672 | Statistics for Health Data Science: An Organic Approach (Springer Texts in Statistics) | Ruth Etzioni, Micha Mandel, Roman Gulati | 2021 | Springer | |
| 673 | Data Science for Fake News: Surveys and Perspectives (The Information Retrieval Series, 42) | Deepak P, Tanmoy Chakraborty, Cheng Long, Santhosh Kumar G | 2021 | Springer | |
| 674 | Python for Data Analysis: A Beginners Guide to Master the Fundamentals of Data Science and Data Analysis by Using Pandas, Numpy and Ipython | Brady Ellison | 2021 | WhiteFlowerPublsihing | |
| 675 | Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading | Jun Chen, Edward P.K. Tsang | 2021 | CRC Press | |
| 676 | Data Science for Nano Image Analysis (International Series in Operations Research & Management Science, 308) | Chiwoo Park, Yu Ding | 2021 | Springer | |
| 677 | Data Science for Public Policy (Springer Series in the Data Sciences) | Jeffrey C. Chen, Edward A. Rubin, Gary J. Cornwall | 2021 | Springer | |
| 678 | Trends of Data Science and Applications: Theory and Practices (Studies in Computational Intelligence, 954) | Siddharth Swarup Rautaray (editor), Phani Pemmaraju (editor), Hrushikesha Mohanty (editor) | 2021 | Springer | |
| 679 | Mechanistic Data Science for STEM Education and Applications | Wing Kam Liu, Zhengtao Gan, Mark Fleming | 2021 | Springer | |
| 680 | Mediterranean Forum – Data Science Conference: First International Conference, MeFDATA 2020, Sarajevo, Bosnia and Herzegovina, October 24, 2020, ... in Computer and Information Science) | Jasminka Hasic Telalovic (editor), Mehmed Kantardzic (editor) | 2021 | Springer | |
| 681 | Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September 13–17, 2021, Proceedings, Part V | Yuxiao Dong; Nicolas Kourtellis; Barbara Hammer; Jose A. Lozano | 2021 | Springer Nature | |
| 682 | Enabling Machine Learning Applications in Data Science: Proceedings of Arab Conference for Emerging Technologies 2020 | Aboul Ella Hassanien (editor), Ashraf Darwish (editor), Sherine M. Abd El-Kader (editor), Dabiah Ahmed Alboaneen (editor) | 2021 | Springer | |
| 683 | Foundations of Data Science Based Healthcare Internet of Things (SpringerBriefs in Applied Sciences and Technology) | Parikshit N. Mahalle, Sheetal S. Sonawane | 2021 | Springer | |
| 684 | Foundations of Data Science for Engineering Problem Solving (Studies in Big Data, 94) | Parikshit Narendra Mahalle, Gitanjali Rahul Shinde, Priya Dudhale Pise, Jyoti Yogesh Deshmukh | 2021 | Springer | |
| 685 | Impact of AI and Data Science in Response to Coronavirus Pandemic (Algorithms for Intelligent Systems) | Sushruta Mishra (editor), Pradeep Kumar Mallick (editor), Hrudaya Kumar Tripathy (editor), Gyoo-Soo Chae (editor), Bhabani Shankar Prasad Mishra (editor) | 2021 | Springer | |
| 686 | Survival Analysis: Proportional and Non-Proportional Hazards Regression (Springer the Data Sciences) | John O'Quigley | 2021 | Springer | |
| 687 | Statistical Foundations, Reasoning and Inference: For Science and Data Science (Springer Series in Statistics) | Göran Kauermann, Helmut Küchenhoff, Christian Heumann | 2021 | Springer | |
| 688 | Structural Health Monitoring Based on Data Science Techniques (Structural Integrity, 21) | Alexandre Cury (editor), Diogo Ribeiro (editor), Filippo Ubertini (editor), Michael D. Todd (editor) | 2021 | Springer | |
| 689 | Intelligent Computing and Innovation on Data Science: Proceedings of ICTIDS 2021 (Lecture Notes in Networks and Systems, 248) | Sheng-Lung Peng (editor), Sun-Yuan Hsieh (editor), Suseendran Gopalakrishnan (editor), Balaganesh Duraisamy (editor) | 2021 | Springer | |
| 690 | Optimization and Data Science: Trends and Applications: 5th AIROYoung Workshop and AIRO PhD School 2021 Joint Event (AIRO Springer Series, 6) | Adriano Masone (editor), Veronica Dal Sasso (editor), Valentina Morandi (editor) | 2021 | Springer | |
| 691 | Leadership in Statistics and Data Science: Planning for Inclusive Excellence | Amanda L. Golbeck (editor) | 2021 | Springer | |
| 692 | Predictive Maintenance in Smart Factories: Architectures, Methodologies, and Use-cases (Information Fusion and Data Science) | Tania Cerquitelli (editor), Nikolaos Nikolakis (editor), Niamh O’Mahony (editor), Enrico Macii (editor), Massimo Ippolito (editor), Sotirios Makris (editor) | 2021 | Springer | |
| 693 | Smart Technologies in Data Science and Communication: Proceedings of SMART-DSC 2021 (Lecture Notes in Networks and Systems, 210) | Sanjoy Kumar Saha (editor), Paul S. Pang (editor), Debnath Bhattacharyya (editor) | 2021 | Springer | |
| 694 | Proceedings of International Conference on Data Science and Applications: ICDSA 2021, Volume 2 (Lecture Notes in Networks and Systems, 287) | Mukesh Saraswat (editor), Sarbani Roy (editor), Chandreyee Chowdhury (editor), Amir H. Gandomi (editor) | 2021 | Springer | |
| 695 | Proceedings of International Conference on Data Science and Applications: ICDSA 2021, Volume 1 (Lecture Notes in Networks and Systems, 288) | Mukesh Saraswat (editor), Sarbani Roy (editor), Chandreyee Chowdhury (editor), Amir H. Gandomi (editor) | 2021 | Springer | |
| 696 | Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing: IEM-ICDC 2020 (Lecture Notes on Data Engineering and Communications Technologies, 62) | Valentina E. Balas (editor), Aboul Ella Hassanien (editor), Satyajit Chakrabarti (editor), Lopa Mandal (editor) | 2021 | Springer | |
| 697 | Soft Computing in Data Science: 6th International Conference, SCDS 2021, Virtual Event, November 2–3, 2021, Proceedings (Communications in Computer and Information Science) | Azlinah Mohamed (editor), Bee Wah Yap (editor), Jasni Mohamad Zain (editor), Michael W. Berry (editor) | 2021 | Springer | |
| 698 | ICDSMLA 2020: Proceedings of the 2nd International Conference on Data Science, Machine Learning and Applications (Lecture Notes in Electrical Engineering, 783) | Amit Kumar (editor), Sabrina Senatore (editor), Vinit Kumar Gunjan (editor) | 2021 | Springer | |
| 699 | Data Science for Supply Chain Forecasting | Nicolas Vandeput | 2021 | Walter De Gruyter | |
| 700 | Introduction to Probability for Data Science | Stanley Chan | 2021 | Michigan Publishing Services | |
| 701 | Practical Data Science With R | Nina Zumel, John Mount, Jeremy Howard, Rachel Thomas | 2020 | Manning Publications | |
| 702 | Data Science For Wind Energy | Yu Ding | 2020 | Chapman And Hall/CRC | |
| 703 | Data science for wind energy | Ding, Yu | 2020 | CRC Press | |
| 704 | Nature Inspired Computing For Data Science | Minakhi Rout, Jitendra Kumar Rout, Himansu Das | 2020 | Springer | |
| 705 | The Decision Maker’s Handbook To Data Science: A Guide For Non-Technical Executives, Managers, And Founders | Stylianos Kampakis | 2020 | Apress | |
| 706 | Practical DataOps: Delivering Agile Data Science At Scale | Harvinder Atwal | 2020 | Apress | |
| 707 | Principles Of Managerial Statistics And Data Science | Roberto Rivera | 2020 | John Wiley & Sons | |
| 708 | Foundations Of Data Science | Avrim Blum, John Hopcroft, Ravindran Kannan | 2020 | Cambridge University Press | |
| 709 | Probability and statistics for data science : math + R + data | Matloff, Norman S. | 2020 | CRC Press | |
| 710 | Environmental Software Systems. Data Science in Action: 13th IFIP WG 5.11 International Symposium, ISESS 2020, Wageningen, The Netherlands, February 5–7, 2020, Proceedings | Athanasiadis, I.N.;Frysinger, S.P.;Schimak, G.;Knibbe, W.J. | 2020 | Springer International Publishing | |
| 711 | Quantitative Economics With R: A Data Science Approach | Vikram Dayal | 2020 | Springer | |
| 712 | Supervised and Unsupervised Learning for Data Science | Michael W. Berry, Azlinah Mohamed, Bee Wah Yap | 2020 | Springer International Publishing | |
| 713 | Big Data, Cloud Computing, and Data Science Engineering | Roger Lee | 2020 | Springer International Publishing | |
| 714 | Emerging Trends in Intelligent Computing and Informatics: Data Science, Intelligent Information Systems and Smart Computing | Faisal Saeed, Fathey Mohammed, Nadhmi Gazem | 2020 | Springer International Publishing | |
| 715 | Advances in Data Sciences, Security and Applications: Proceedings of ICDSSA 2019 | Vanita Jain, Gopal Chaudhary, M. Cengiz Taplamacioglu, M. S. Agarwal | 2020 | Springer Singapore | |
| 716 | Data Science In Cybersecurity And Cyberthreat Intelligence | Leslie F. Sikos, Kim-Kwang Raymond Choo | 2020 | Springer | |
| 717 | Build a Career in Data Science | Jacqueline Nolis, Emily Robinson | 2020 | Manning Publications | |
| 718 | Linux: This Book Includes 4 Manuscripts. The Underground Bible to the UNIX Operating System with Tools On Security and Kali Hacking to Understand Computer Programming, Data Science and Command Line | Growth, Darwin | 2020 | | |
| 719 | Univariate, Bivariate, and Multivariate Statistics Using R: Quantitative Tools for Data Analysis and Data Science | Daniel J. Denis | 2020 | Wiley | |
| 720 | JavaScript for Data Science | Maya Gans; Toby Hodges; Greg Wilson | 2020 | CRC Press | |
| 721 | Data Science in Production: Building Scalable Model Pipelines with Python | Ben G Weber | 2020 | Independently published | |
| 722 | Advanced Data Science and Analytics with Python | Jesús Rogel-Salazar | 2020 | CRC Press | |
| 723 | Data Science: From Research to Application | Mahdi Bohlouli (editor), Bahram Sadeghi Bigham (editor), Zahra Narimani (editor), Mahdi Vasighi (editor), Ebrahim Ansari (editor) | 2020 | Springer | |
| 724 | Univariate, Bivariate, and Multivariate Statistics Using R: Quantitative Tools for Data Analysis and Data Science | Daniel J. Denis | 2020 | Wiley | |
| 725 | Advances in Data Science: Symbolic, Complex, and Network Data | Edwin Diday (editor), Rong Guan (editor), Gilbert Saporta (editor), Huiwen Wang (editor) | 2020 | ISTE Ltd | |
| 726 | Machine Learning: 2 Books in 1: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications | Hack, Samuel | 2020 | | |
| 727 | It's All Analytics! The Foundations of AI, Big Data, and Data Science Landscape for Professionals in Healthcare, Business, and Government | Scott Burk; Gary D. Miner | 2020 | CRC Press | |
| 728 | It's All Analytics!: The Foundations of Al, Big Data and Data Science Landscape for Professionals in Healthcare, Business, and Government | Scott Burk, Gary D. Miner | 2020 | Productivity Press | |
| 729 | Advanced Data Science and Analytics With Python | Jesus Rogel-Salazar | 2020 | Taylor & Francis Ltd | |
| 730 | Modern Data Mining Algorithms in C++ and CUDA C: Recent Developments in Feature Extraction and Selection Algorithms for Data Science | Timothy Masters | 2020 | Apress | |
| 731 | Practical Data Science with R, Second Edition MEAP V06 | Nina Zumel; John Mount | 2020 | Manning Publications Co. | |
| 732 | Analytical Skills for AI and Data Science: Building Skills for an Ai-Driven Enterprise | Daniel Vaughan | 2020 | O'Reilly Media, Inc, USA | |
| 733 | Case Studies in Applied Bayesian Data Science: CIRM Jean-Morlet Chair, Fall 2018 | Kerrie L. Mengersen (editor), Pierre Pudlo (editor), Christian P. Robert (editor) | 2020 | Springer | |
| 734 | Master Data Science and Data Analysis With Pandas By Arun | Arun | 2020 | | |
| 735 | Python Programming for Beginners: Basic Language from Absolute Beginners to Intermediate. Learn Easily and Fast Data Science and Web Development in a Simple and Practical Way Step-by-Step | MARK CODING | 2020 | | |
| 736 | Python Programming for Beginners: Basic Language from Absolute Beginners to Intermediate. Learn Easily and Fast Data Science and Web Development in a Simple and Practical Way Step-by-Step | CODING, MARK | 2020 | | |
| 737 | Python Programming for Beginners: Basic Language from Absolute Beginners to Intermediate. Learn Easily and Fast Data Science and Web Development in a Simple and Practical Way Step-by-Step | CODING, MARK | 2020 | | |
| 738 | Data Science and Machine Learning: Mathematical and Statistical Methods | Dirk P. Kroese; Zdravko I. Botev; Thomas Taimre; Radislav Vaisman | 2020 | CRC Press | |
| 739 | COMPUTER PROGRAMMING 4 Books In 1: Data Science, Hacking with Kali Linux, Computer Networking for Beginners, Python Programming | Jason Callaway | 2020 | | |
| 740 | End-to-End Data Science with SAS | James Gearheart | 2020 | SAS Institute | |
| 741 | End-to-End Data Science with SAS | James Gearheart | 2020 | SAS Institute | |
| 742 | PYTHON FOR DATA SCIENCE: Guide to computer programming and web coding. Learn machine learning, artificial intelligence, NumPy and Pandas packages for data analysis. Step-by-step exercises included. | Jason Test | 2020 | | |
| 743 | A Hands-On Introduction to Data Science | Chirag Shah | 2020 | Cambridge University Press | |
| 744 | A Hands-On Introduction to Data Science | Chirag Shah | 2020 | Cambridge University Press | |
| 745 | Principles of Data Science (Transactions on Computational Science and Computational Intelligence) | Hamid R. Arabnia (editor), Kevin Daimi (editor), Robert Stahlbock (editor), Cristina Soviany (editor), Leonard Heilig (editor), Kai Brüssau (editor) | 2020 | Springer | |
| 746 | Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud | Paul J. Deitel, Harvey Deitel | 2020 | Pearson | |
| 747 | Beginning Data Science, IoT, and AI on Single Board Computers: Core Skills and Real-World Application with the BBC micro:bit and XinaBox | Philip Meitiner, Pradeeka Seneviratne | 2020 | Apress | |
| 748 | Beginning Data Science, IoT, and AI on Single Board Computers: Core Skills and Real-World Application with the BBC micro:bit and XinaBox | Philip Meitiner, Pradeeka Seneviratne | 2020 | Apress | |
| 749 | PYTHON: Learn Coding Programs with Python Programming and Master Data Analysis & Analytics, Data Science and Machine Learning with the Complete Python for Beginners Crash Course - 4 Books in 1 | Academy, Tech Ed | 2020 | | |
| 750 | Python for Beginners: The Crash Course to Learn Python Programming in 3-Days (or less). Master Artificial Intelligence for Data Science and Machine Learning + Practical Exercises | Khan, Aaron | 2020 | | |
| 751 | Python for Beginners: Start Right Now to Learn Computer Programming with the Best Crash Course. Improve your Skills with Machine Learning, Data Analysis and Data Science | Chan, Ben | 2020 | | |
| 752 | Machine Learning- The Mastery Bible: The definitive guide to Machine Learning, Data Science, Artificial Intelligence, Neural Networks, and Data Analytics. | Hanson, Bill | 2020 | | |
| 753 | The Applied Data Science Workshop - Second Edition: Get started with the applications of data science and techniques to explore and assess data effectively | Alex Galea | 2020 | Packt Publishing - ebooks Account | |
| 754 | The Applied Data Science Workshop - Second Edition: Get started with the applications of data science and techniques to explore and assess data effectively | Alex Galea | 2020 | Packt Publishing - ebooks Account | |
| 755 | Analytics, data science, & artificial intelligence : systems for decision support | Dursun Delen; Ramesh Sharda; Efraim Turban | 2020 | | |
| 756 | Python for Data Analysis: Master Deep Learning with Python Language and Become Great at Programming Python for Beginners with Hands-on Project (Data Science) | Scratch, Jason | 2020 | | |
| 757 | Basketball Data Science: With Applications in R | Paola Zuccolotto; Marica Manisera | 2020 | CRC Press | |
| 758 | Practical data science with R | (Computational scientist) John Mount; Nina Zumel; Jeremy Howard; Rachel Thomas | 2020 | | |
| 759 | Basketball Data Science: With Applications in R (Chapman & Hall/CRC Data Science Series) | Paola Zuccolotto, Marica Manisera | 2020 | Chapman and Hall/CRC | |
| 760 | Python Data Science: An Ultimate Guide for Beginners to Learn Fundamentals of Data Science Using Python | Christopher Wilkinson | 2020 | | |
| 761 | PYTHON DATA SCIENCE Learn Python in a Week and Master it | coll | 2020 | | |
| 762 | Python Data Science: Learn Python in a Week and Master It. An Hands-On Introduction to Big Data Analysis and Mining, a Project-Based Guide with Practical Exercises (7 Days Crash Course, Book 3) | Academy, Computer Programming | 2020 | | |
| 763 | Principles of Managerial Statistics and Data Science | Roberto Rivera | 2020 | Wiley | |
| 764 | Python Programming: 3 BOOKS IN 1 Learn machine learning, data science and analysis with a crash course for beginners. Included coding exercises for artificial intelligence, Numpy, Pandas and Ipython. | Test, Jason | 2020 | | |
| 765 | 97 Things About Ethics Everyone in Data Science Should Know | Bill Franks | 2020 | O'Reilly Media, Inc. | |
| 766 | 97 Things About Ethics Everyone in Data Science Should Know | Bill Franks | 2020 | O'Reilly Media | |
| 767 | Data Science for Beginners: 4 Books in 1: Python Programming, Data Analysis, Machine Learning. A Complete Overview to Master The Art of Data Science From Scratch Using Python for Business | Andrew Park | 2020 | | |
| 768 | Python project for beginners: Python at your fingertips! Learn, create, experiment, and don't miss the current programming language. Introduction to data science, coding, and analysis. | Chamberlin, Eric | 2020 | | |
| 769 | GUIDE TO INTELLIGENT DATA SCIENCE : how to intelligently make use of. | | 2020 | SPRINGER NATURE | |
| 770 | Big Data and Artificial Intelligence: Complete Guide to Data Science, AI, Big Data and Machine Learning. | Weber, Hans | 2020 | | |
| 771 | The Data Science Workshop: A New, Interactive Approach to Learning Data Science | Anthony So, Thomas V. Joseph, Robert Thas John, Andrew Worsley, Dr. Samuel Asare | 2020 | Packt Publishing | |
| 772 | PYTHON: 2 Books in 1: Python Programming & Data Science. Master Data Analysis in Less than 7 Days and Discover the Secrets of Machine Learning with Step-by-Step Exercises | Callaway, Jason | 2020 | | |
| 773 | PYTHON PROGRAMMING: 3 MANUSCRIPTS CRASH COURSE CODING WITH PYTHON DATA SCIENCE. THE STEP BY STEP GUIDE FOR BEGINNERS TO MASTER SOFTWARE PROJECTS, ALGORITHMS, TRICKS AND TIPS | Tacke, John; Matthes, Adrienne Hawkes | 2020 | | |
| 774 | Python for Data Analysis: The Ultimate Beginner's Guide to Learn programming in Python for Data Science with Pandas and NumPy, Master Statistical Analysis, and Visualization | Foster, Matt | 2020 | | |
| 775 | Start & Grow Your Career In Machine Learning & Data Science | Janice Pan | Creatives, Class | 2020 | | |
| 776 | Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights | Joanne Rodrigues-Craig | 2020 | Addison-Wesley Professional | |
| 777 | Python Highway: 2 Books in 1: The Fastest Way for Beginners to Learn Python Programming, Data Science and Machine Learning in 3 Days (or less) + Practical Exercises Included | Cox, Aaron | 2020 | | |
| 778 | DATA SCIENCE: Simple and Effective Tips and Tricks to Learn Data Science | Smith, Benjamin | 2020 | | |
| 779 | Data Science for Mathematicians | Nathan Carter | 2020 | CRC Press | |
| 780 | Mathematical Foundations of Data Science Using R | Frank Emmert-Streib, Salissou Moutari, Matthias Dehmer | 2020 | de Gruyter | |
| 781 | PYTHON: 2 BOOKS IN 1: Dive into Data Science and learn how to master Python Programming and other Coding Languages in use today | Geddis, Steve | 2020 | | |
| 782 | Python for Beginners: The Crash Course to Learn Python Programming in 3-DAYS (or less) Master Artificial Intelligence for Data Science and Machine Learning + Practical Exercises | Cox, Aaron | 2020 | | |
| 783 | LEARNING MACHINE: From Data Science to Data Quality: When an Algorithm Includes a Company's Performance in the Digital Age (Artificial Intelligence Book 2) | Mazziotti, Tommaso | 2020 | | |
| 784 | ESSENTIAL MATH FOR DATA SCIENCE: take control of your data with fundamental calculus, linear... algebra, probability, and statistics | Jean, Hadrien | 2020 | O'Reilly Media, Inc. | |
| 785 | Python for Beginners: A Step by Step Crash Course to Learn Smarter the Fundamental Elements of Python Programming, Machine Learning, Data Science and Tools, Tips and Tricks of This Coding Language | Knox, Jason | 2020 | | |
| 786 | ARTIFICIAL INTELLIGENCE BUSINESS APPLICATIONS: How to Learn Applied Artificial Intelligence and Use Data Science for Business. Includes Data Analytics, Machine Learning for Business and Python | FORD, WILLIAM J. | 2020 | | |
| 787 | Machine Learning with Python: A Step by Step Guide for Absolute Beginners to Program Artificial Intelligence with Python. Neural Networks and Data Science from Pre-Processing to Deep Learning | CODING, MARK | 2020 | | |
| 788 | Machine Learning in Business: An Introduction to the World of Data Science | John Hull | 2020 | | |
| 789 | Intelligent Computing and Innovation on Data Science: Proceedings of ICTIDS 2019 | Sheng-Lung Peng, Le Hoang Son, G. Suseendran, D. Balaganesh | 2020 | Springer Singapore;Springer | |
| 790 | Hands-on Scikit-Learn for machine learning applications: data science fundamentals with Python | Paper, David | 2020 | Apress | |
| 791 | Advanced Studies In Classification And Data Science | Tadashi Imaizumi, Akinori Okada, Sadaaki Miyamoto, Fumitake Sakaori, Yoshiro Yamamoto, Maurizio Vichi | 2020 | Springer | |
| 792 | Statistical Foundations Of Data Science | Jianqing Fan, Runze Li, Cun-Hui Zhang, Hui Zou | 2020 | Chapman&Hall/CRC /Taylor & Francis Group | |
| 793 | Principles of Managerial Statistics and Data Science | Roberto Rivera | 2020 | Wiley | |
| 794 | Python Crash Course: A Beginner’s Guide to Master the Basics of Python and Data Science. Learn Coding with This Machine Learning Tool. Discover the Endless Possibilities of Computers and Codes. | Wall, Eric | 2020 | | |
| 795 | Python: 3 books in 1: Beginner’s guide, Data science and Machine learning. The easiest guide to start Python programming. Unlock your programmer potential and develop your project in just 30 days | Dimick, William | 2020 | | |
| 796 | Artificial Intelligence A-Z: Learn How To Build An AI: Combine the power of Data Science, Machine Learning and Deep Learning to create powerful AI for Real-World applications | Nileriver Publications | 2020 | | |
| 797 | Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python | Hariom Tatsat, Sahil Puri , Brad Lookabaugh | 2020 | O'Reilly Media | |
| 798 | Data science and machine learning. Mathematical and statistical methods | Botev, Zdravko I.; Kroese, Dirk P.; Taimre, Thomas; Vaisman, Radislav | 2020 | Chapman & Hall/CRC | |
| 799 | Foundations of data science | Blum, Avrim; Hopcroft, John E.; Kannan, Ravindran | 2020 | Cambridge University Press | |
| 800 | Data Science Fundamentals and Practical Approaches: Understand Why Data Science Is the Next | Dr. Gypsy Nandi, Dr. Rupam Kumar Sharma | 2020 | BPB Publications | |
| 801 | JavaScript for data science | Gans, Maya; Hodges, Toby; Wilson, Greg | 2020 | CRC Press | |
| 802 | Smarter data science: succeeding with enterprise-grade data and ai projects | Fishman, Neal; Stryker, Cole | 2020 | John Wiley and Sons | |
| 803 | Probability and statistics for data science: math + R + data | Matloff, Norman S | 2020 | CRC Press | |
| 804 | 30-Second Data Science | Liberty Vittert | 2020 | Ivy Press | |
| 805 | PYTHON PROGRAMMING: A Complete Overview to Master The Art of Data Science From Scratch Using Python for Business | Whistler, Mark | 2020 | | |
| 806 | Chemistry in Action: Making Molecular Movies with Ultrafast Electron Diffraction and Data Science | Lai Chung Liu | 2020 | Springer Nature | |
| 807 | Chemistry in Action: Making Molecular Movies with Ultrafast Electron Diffraction and Data Science | Lai Chung Liu | 2020 | Springer International Publishing | |
| 808 | Data science: from research to application | Bohlouli M (ed.) | 2020 | Springer | |
| 809 | Python Data Science: After work guide to start learning Data Science on your own. Avoid common beginners mistakes of coding. Approach Panda and NumPy to become a brilliant computer programmer. | HOOD, CODING; Kölling, Michail | 2020 | | |
| 810 | Python: 6 Books in 1: ?The Ultimate Bible to Learn Python Programming for a Career in Machine Learning, Data Science & ?Web Development. | Soranson, Oliver | 2020 | | |
| 811 | Python for Data Science: 2 Books in 1. A Practical Beginner’s Guide to learn Python Programming, introducing into Data Analytics, Machine Learning, Web Development, with Hands-on Projects | THOMPSON, ERICK | 2020 | | |
| 812 | The Big R-Book: From Data Science to Learning Machines and Big Data | Philippe J. S. De Brouwer | 2020 | Wiley | |
| 813 | Learning in Python: Learn Data Science and Machine Learning with Modern Neural Networks composed in Python, Theano, and TensorFlow | KUMAR, MADHAN | 2020 | | |
| 814 | Python Programming: 4 Books in 1 - The Complete Crash Course for Beginners to Mastering Python with Practical Applications to Data Analysis & Analytics, Machine Learning and Data Science Projects | Park, Andrew | 2020 | | |
| 815 | SQL for Data Science: Data Cleaning, Wrangling and Analytics with Relational Databases | Antonio Badia | 2020 | Springer | |
| 816 | Smarter Data Science: Succeeding with Enterprise-Grade Data and AI Projects | Neal Fishman, Cole Stryker | 2020 | Wiley | |
| 817 | The Data Science Framework: A View from the EDISON Project | Juan J. Cuadrado-Gallego Yuri Demchenko | 2020 | Springer | |
| 818 | Statistical Foundations of Data Science | Fan, Jianqing; Li, Runze; Zhang, Cun-Hui | 2020 | CRC Press LLC | |
| 819 | Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value | Eric Anderson; Florian Zettelmeyer | 2020 | McGraw-Hill | |
| 820 | Computational Intelligence in Data Science: Third IFIP TC 12 International Conference, ICCIDS 2020, Chennai, India, February 20–22, 2020, Revised Selected Papers | | 2020 | | |
| 821 | Computational Intelligence in Data Science Third IFIP TC 12 International Conference, ICCIDS 2020, Chennai, India, February 20–22, 2020, Revised Selected Papers | Aravindan Chandrabose, Ulrich Furbach, Ashish Ghosh, Anand Kumar M | 2020 | Springer | |
| 822 | Digital Libraries: The Era of Big Data and Data Science: 16th Italian Research Conference on Digital Libraries, IRCDL 2020, Bari, Italy, January | Michelangelo Ceci, Stefano Ferilli, Antonella Poggi | 2020 | Springer | |
| 823 | Data Science Concepts and Techniques with Applications | Usman Qamar, Muhammad Summair Raza | 2020 | Springer Singapore | |
| 824 | Social Data Science Xennials: Between Analogue and Digital Social Research | Gian Marco Campagnolo | 2020 | Palgrave Macmillan | |
| 825 | ICT for Smart Water Systems: Measurements and Data Science | Andrea Scozzari, Steve Mounce , Dawei Han , Francesco Soldovieri , Dimitri Solomatine | 2020 | Springer International Publishing | |
| 826 | Data science for mathematicians | Carter, Nathan(Editor) | 2020 | CRC Press | |
| 827 | Machine Learning: 2 Books in 1 - The Complete Guide for Beginners to Master Neural Networks, Artificial Intelligence, and Data Science with Python | Park, Andrew | 2020 | | |
| 828 | Learn Data Science Using SAS Studio: A Quick-Start Guide | Engy Fouda | 2020 | Apress | |
| 829 | Data Science Solutions on Azure: Tools and Techniques Using Databricks and MLOps | Julian Soh, Priyanshi Singh | 2020 | Apress | |
| 830 | Applying Data Science: How to Create Value with Artificial Intelligence | Arthur K. Kordon | 2020 | Springer International Publishing;Springer | |
| 831 | The Data Science Framework: A View from the EDISON Project | Juan J. Cuadrado-Gallego, Yuri Demchenko | 2020 | Springer International Publishing;Springer | |
| 832 | Data Science: 6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020, Taiyuan, China, September 18-21, 2020, Proceedings, Part I | Jianchao Zeng, Weipeng Jing, Xianhua Song, Zeguang Lu | 2020 | Springer Singapore;Springer | |
| 833 | Data Science: 6th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2020, Taiyuan, China, September 18-21, 2020, Proceedings, Part II | Pinle Qin, Hongzhi Wang, Guanglu Sun, Zeguang Lu | 2020 | Springer Singapore;Springer | |
| 834 | Recent Advances in Data Science: Third International Conference on Data Science, Medicine, and Bioinformatics, IDMB 2019, Nanning, China, June 22–24, 2019, Revised Selected Papers | Henry Han, Tie Wei, Wenbin Liu, Fei Han | 2020 | Springer Singapore;Springer | |
| 835 | Data Science and Productivity Analytics | Vincent Charles, Juan Aparicio, Joe Zhu | 2020 | Springer International Publishing;Springer | |
| 836 | Principles of Data Science | Hamid R. Arabnia, Kevin Daimi, Robert Stahlbock, Cristina Soviany, Leonard Heilig, Kai Brüssau | 2020 | Springer International Publishing;Springer | |
| 837 | Data Science and Analytics: 5th International Conference on Recent Developments in Science, Engineering and Technology, REDSET 2019, Gurugram, India, November 15–16, 2019, Revised Selected Papers, Part I | Usha Batra, Nihar Ranjan Roy, Brajendra Panda | 2020 | Springer Singapore;Springer | |
| 838 | Data Science and Analytics: 5th International Conference on Recent Developments in Science, Engineering and Technology, REDSET 2019, Gurugram, India, November 15–16, 2019, Revised Selected Papers, Part II | Usha Batra, Nihar Ranjan Roy, Brajendra Panda | 2020 | Springer Singapore;Springer | |
| 839 | Data Science Concepts and Techniques with Applications | Usman Qamar, Muhammad Summair Raza | 2020 | Springer Singapore;Springer | |
| 840 | Machine Learning, Image Processing, Network Security and Data Sciences: Second International Conference, MIND 2020, Silchar, India, July 30 - 31, 2020, Proceedings, Part I | Arup Bhattacharjee, Samir Kr. Borgohain, Badal Soni, Gyanendra Verma, Xiao-Zhi Gao | 2020 | Springer Singapore;Springer | |
| 841 | Machine Learning, Image Processing, Network Security and Data Sciences: Second International Conference, MIND 2020, Silchar, India, July 30 - 31, 2020, Proceedings, Part II | Arup Bhattacharjee, Samir Kr. Borgohain, Badal Soni, Gyanendra Verma, Xiao-Zhi Gao | 2020 | Springer Singapore;Springer | |
| 842 | Advances in Computing and Data Sciences: 4th International Conference, ICACDS 2020, Valletta, Malta, April 24–25, 2020, Revised Selected Papers | Mayank Singh, P. K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören, Gianluca Valentino | 2020 | Springer Singapore;Springer | |
| 843 | Social Data Science Xennials: Between Analogue and Digital Social Research | Gian Marco Campagnolo | 2020 | Springer International Publishing;Palgrave Macmillan | |
| 844 | Audit Analytics: Data Science for the Accounting Profession | J. Christopher Westland | 2020 | Springer International Publishing;Springer | |
| 845 | Leveraging Data Science for Global Health | Leo Anthony Celi, Maimuna S. Majumder, Patricia Ordóñez, Juan Sebastian Osorio, Kenneth E. Paik, Melek Somai | 2020 | Springer International Publishing;Springer | |
| 846 | A Tour of Data Science: Learn R and Python in Parallel | Nailong Zhang | 2020 | | |
| 847 | Data Science in Chemistry: Artificial Intelligence, Big Data, Chemometrics and Quantum Computing with Jupyter | Thorsten Gressling | 2020 | De Gruyter | |
| 848 | 30-Second Data Science: The 50 Key Principles and Innovations in the Field of Data-Gathering, Each Explained in Half a Minute | Liberty Vittert | 2020 | Ivy Press | |
| 849 | 30-Second Data Science: The 50 Key Concepts And Challenges, Each Explained In Half A Minute | Liberty Vittert | 2020 | Ivy Press/Quarto Publishing | |
| 850 | Guide to Intelligent Data Science: How to Intelligently Make Use of Real Data | Michael R. Berthold, Christian Borgelt, Frank Höppner, Frank Klawonn, Rosaria Silipo | 2020 | Springer-Nature New York Inc | |
| 851 | Data Science Crash Course for Beginners: Fundamentals and Practices with Python | AI Publishing | 2020 | AI Publishing | |
| 852 | Data Science Crash Course for Beginners: Fundamentals and Practices with Python | AI Publishing | 2020 | AI Publishing | |
| 853 | Data Science Crash Course for Beginners: Fundamentals and Practices with Python | AI Publishing | 2020 | AI Publishing | |
| 854 | The Data Science Workshop | Robert John; Samuel Asare; Andrew Worsley; Thomas Joseph; Anthony So; | 2020 | | |
| 855 | Why AI/Data Science Projects Fail | Joyce Weiner | 2020 | Morgan & Claypool | |
| 856 | Build a Career in Data Science | Emily Robinson, Jacqueline Nolis | 2020 | Manning Publications | |
| 857 | Data Science for Business and Decision Making: An Introductory Text for Students and Practitioners | Seyed Ali Fallahchay (Author) | 2020 | Arcler Press | |
| 858 | The Python Bible 7 in 1: Volumes One To Seven (Beginner, Intermediate, Data Science, Machine Learning, Finance, Neural Networks, Computer Vision) | Dedov, Florian | 2020 | | |
| 859 | The Data Science Workshop: A New, Interactive Approach to Learning Data Science | Anthony So; Thomas V. Joseph; Robert Thas John; Andrew Worsley; Dr. Samuel Asare | 2020 | Packt Publishing | |
| 860 | Be the Outlier : How to Ace Data Science Interviews | Shrilata Murthy | 2020 | New Degree Press | |
| 861 | R for Political Data Science: A Practical Guide | Francisco Urdinez, Andres Cruz | 2020 | CRC Press | |
| 862 | 97 Things About Ethics Everyone in Data Science Should Know | Bill Franks | 2020 | O'Reilly Media | |
| 863 | Statistical Foundations Of Data Science | Jianqing Fan, Runze Li, Cun-Hui Zhang, Hui Zou | 2020 | Chapman&Hall/CRC /Taylor & Francis Group | |
| 864 | R for Political Data Science: A Practical Guide | Francisco Urdinez, Andres Cruz | 2020 | CRC Press | |
| 865 | R for Health Data Science | Ewen Harrison, Riinu Pius | 2020 | CRC Press | |
| 866 | Mathematical Foundations of Data Science Using R | Frank Emmert-Streib, Salissou Moutari, Matthias Dehmer | 2020 | De Gruyter STEM | |
| 867 | Mathematical Foundations of Data Science Using R | Frank Emmert-Streib; Salissou Moutari; Matthias Dehmer | 2020 | Walter de Gruyter GmbH & Co KG | |
| 868 | Big Data and Social Science: Data Science Methods and Tools for Research and Practice | Ian Foster (editor), Rayid Ghani (editor), Ron S. Jarmin (editor), Frauke Kreuter (editor), Julia Lane (editor) | 2020 | Chapman and Hall/CRC | |
| 869 | Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading | Jun Chen, Edward P K Tsang | 2020 | Chapman and Hall/CRC | |
| 870 | Analytical Skills for AI and Data Science: Building Skills for an AI-Driven Enterprise | Daniel Vaughan | 2020 | O'Reilly Media | |
| 871 | Analytical Skills for AI and Data Science: Building Skills for an AI-Driven Enterprise | Daniel Vaughan | 2020 | O'Reilly Media | |
| 872 | The Big R-Book: From Data Science to Learning Machines and Big Data | Philippe J. S. De Brouwer | 2020 | Wiley | |
| 873 | Leading with AI and Analytics: Build Your Data Science IQ to Drive Business Value | Eric Anderson; Florian Zettelmeyer | 2020 | McGraw Hill Professional | |
| 874 | Driving Digital Transformation through Data and AI: A Practical Guide to Delivering Data Science and Machine Learning Products | Alexander Borek, Nadine Prill | 2020 | Kogan Page | |
| 875 | Data Science: The Executive Summary - A Technical Book for Non-Technical Professionals | Field Cady | 2020 | Wiley | |
| 876 | Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle | Ramcharan Kakarla | 2020 | Apress | |
| 877 | Data Science Fundamentals and Practical Approaches: Understand Why Data Science Is the Next (English Edition) | Dr. Gypsy Nandi, Dr. Rupam Kumar Sharma | 2020 | BPB Publications | |
| 878 | Advances in Data Science: Symbolic, Complex, and Network Data (Innovation, Entrepreneurship, Management; Big Data, Intelligence and Data Analaysis) | Edwin Diday (editor), Rong Guan (editor), Gilbert Saporta (editor), Huiwen Wang (editor) | 2020 | Wiley-ISTE | |
| 879 | PYTHON: 4 BOOKS IN 1: Learn How To Develop Programs And Apps In 7 Days With Python Programming And Start Deep Hands-on Learning For Beginners of Data Science And Machine Learning. | Oliver R. Simpson, Code Developer Academy | 2020 | | |
| 880 | R for Health Data Science | Ewen Harrison, Riinu Pius | 2020 | Chapman and Hall/CRC | |
| 881 | Practical Data Science For Information Professionals | David Stuart | 2020 | Facet Publishing | |
| 882 | Data Science in Chemistry (de Gruyter Textbook) | Thorsten Gressling | 2020 | De Gruyter | |
| 883 | Master Data Science and Data Analysis with Pandas | Kumar, Arun | 2020 | | |
| 884 | Coffee Break Pandas: 74 Pandas Puzzles to Build Your Pandas Data Science Superpower | Christian Mayer, Lukas Rieger, Kyrylo Kravets | 2020 | finxter.com | |
| 885 | Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights (Pearson Business Analytics Series) | Joanne Rodrigues | 2020 | Addison-Wesley Professional | |
| 886 | Trader Construction Kit: Fundamental & Technical Analysis, Risk Management, Directional Trading, Spreads, Options, Quantitative Strategies, Execution, Position Management, Data Science & Programming | Joel Rubano | 2020 | Cephalopod Publishing | |
| 887 | Data Science & Business Analytics | -, Dr. Sneha Kumari (editor), Dr. K. K. Tripathy (editor), Dr. Vidya Kumbhar (editor) | 2020 | Emerald Publishing | |
| 888 | Python For Data Science | Kevin Clark | 2020 | Kevin Clark | |
| 889 | Data Science Programming All-In-One For Dummies | John Paul Mueller; Luca Massaron | 2020 | Wiley | |
| 890 | Data Science for Business Professionals: A Practical Guide for Beginners | Probyto Data Science and Consulting Pvt. Ltd. | 2020 | BPB Publications | |
| 891 | Data Science Tools: R, Excel, KNIME, & OpenOffice | Christopher Greco | 2020 | Mercury Learning and Information | |
| 892 | Data Science Tools: R, Excel, KNIME, & OpenOffice | Christopher Greco | 2020 | Mercury Learning and Information | |
| 893 | Data Science Tools: R, Excel, KNIME, & OpenOffice | Christopher Greco | 2020 | Mercury Learning and Information | |
| 894 | Principles and Methods for Data Science (Volume 43) (Handbook of Statistics, Volume 43) | Arni S.R. Srinivasa Rao (editor), C.R. Rao (editor) | 2020 | North Holland | |
| 895 | Data Science in Chemistry: Artificial Intelligence, Big Data, Chemometrics and Quantum Computing with Jupyter | Thorsten Gressling | 2020 | De Gruyter | |
| 896 | Mathematical Foundations of Data Science Using R | Frank Emmert-Streib; Salissou Moutari; Matthias Dehmer | 2020 | De Gruyter Oldenbourg | |
| 897 | Mathematical Foundations of Data Science Using R | Frank Emmert-Streib; Salissou Moutari; Matthias Dehmer | 2020 | De Gruyter Oldenbourg | |
| 898 | Python Data Science: 3 Books in 1 | Travis Booth | 2020 | | |
| 899 | ML Ops: Operationalizing Data Science | David Sweenor; Steven Hillion; Dan Rope; Dev Kannabiran; Thomas Hill; Michael O'Connell | 2020 | O'Reilly Media, Inc. | |
| 900 | Data Science and Machine Learning Interview Questions Using R: Crack the Data Scientist and Machine Learning Engineers Interviews with Ease | Vishwanathan Narayanan | 2020 | BPB Publications | |
| 901 | Statistics and Data Science: Research School on Statistics and Data Science, RSSDS 2019, Melbourne, VIC, Australia, July 24–26, 2019, Proceedings (Communications in Computer and Information Science) | Hien Nguyen (editor) | 2020 | Springer | |
| 902 | Leading Within Digital Worlds : Strategic Management for Data Science | Peter Grindrod | 2020 | Emerald Publishing Limited | |
| 903 | Data Science | Robert Stahlbock; Gary M. Weiss; Mahmoud Abou-Nasr | 2020 | C. S. R. E. A. | |
| 904 | Data Science in the Public Interest: Improving Government Performance in the Workforce | Joshua D. Hawley | 2020 | W. E. Upjohn Institute for Employment Research | |
| 905 | Advanced Studies in Behaviormetrics and Data Science: Essays in Honor of Akinori Okada (Behaviormetrics: Quantitative Approaches to Human Behavior, 5) | Tadashi Imaizumi (editor), Atsuho Nakayama (editor), Satoru Yokoyama (editor) | 2020 | Springer | |
| 906 | Introduction to Data Science: Data Analysis and Prediction Algorithms with R | Rafael A. Irizarry | 2020 | CRC Press | |
| 907 | Data Science: New Issues, Challenges and Applications (Studies in Computational Intelligence, 869) | Gintautas Dzemyda (editor), Jolita Bernatavi?ien? (editor), Janusz Kacprzyk (editor) | 2020 | Springer | |
| 908 | Data Science: 6th International Conference, ICDS 2019, Ningbo, China, May 15–20, 2019, Revised Selected Papers (Communications in Computer and Information Science, 1179) | Jing He (editor), Philip S. Yu (editor), Yong Shi (editor), Xingsen Li (editor), Zhijun Xie (editor), Guangyan Huang (editor), Jie Cao (editor), Fu Xiao (editor) | 2020 | Springer | |
| 909 | Digital Libraries: The Era of Big Data and Data Science: 16th Italian Research Conference on Digital Libraries, IRCDL 2020, Bari, Italy, January 30–31, 2020, Proceeding | Michelangelo Ceci; Stefano Ferilli; Antonella Poggi | 2020 | Springer | |
| 910 | Statistics for Data Science and Policy Analysis | Azizur Rahman (editor) | 2020 | Springer | |
| 911 | Smart Technologies in Data Science and Communication: Proceedings of SMART-DSC 2019 (Lecture Notes in Networks and Systems, 105) | Jinan Fiaidhi (editor), Debnath Bhattacharyya (editor), N. Thirupathi Rao (editor) | 2020 | Springer | |
| 912 | ICDSMLA 2019: Proceedings of the 1st International Conference on Data Science, Machine Learning and Applications (Lecture Notes in Electrical Engineering, 601) | Amit Kumar (editor), Marcin Paprzycki (editor), Vinit Kumar Gunjan (editor) | 2020 | Springer | |
| 913 | Deep Learning Architectures: A Mathematical Approach (Springer Series in the Data Sciences) | Ovidiu Calin | 2020 | Springer | |
| 914 | Uncertainty Modelling in Data Science | Sébastien Destercke, Thierry Denoeux, María Ángeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz | 2019 | Springer International Publishing | |
| 915 | Recent Developments in Data Science and Intelligent Analysis of Information | Oleg Chertov, Tymofiy Mylovanov, Yuriy Kondratenko, Janusz Kacprzyk, Vladik Kreinovich, Vadim Stefanuk | 2019 | Springer International Publishing | |
| 916 | Data Science and Big Data Analytics | Durgesh Kumar Mishra, Xin-She Yang, Aynur Unal | 2019 | Springer Singapore | |
| 917 | Fundamentals of Clinical Data Science | Pieter Kubben,Michel Dumontier, Andre Dekker | 2019 | Springer Nature | |
| 918 | Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib | Robert Johansson | 2019 | Apress | |
| 919 | Numerical Python. Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib [2nd ed.] | Robert Johansson | 2019 | Apress | |
| 920 | An Introduction to Data: Everything You Need to Know About AI, Big Data and Data Science | Francesco Corea | 2019 | Springer International Publishing | |
| 921 | Charting the Next Pandemic: Modeling Infectious Disease Spreading in the Data Science Age | Ana Pastore y Piontti, Nicola Perra, Luca Rossi, Nicole Samay, Alessandro Vespignani | 2019 | Springer International Publishing | |
| 922 | Causation in Population Health Informatics and Data Science | Olaf Dammann, Benjamin Smart | 2019 | Springer International Publishing | |
| 923 | Big Data, Cloud Computing, Data Science & Engineering | Roger Lee | 2019 | Springer International Publishing | |
| 924 | Data Science in Practice | Alan Said, Vicenç Torra | 2019 | Springer International Publishing | |
| 925 | Recent Trends in Data Science and Soft Computing: Proceedings of the 3rd International Conference of Reliable Information and Communication Technology (IRICT 2018) | Faisal Saeed, Nadhmi Gazem, Fathey Mohammed, Abdelsalam Busalim | 2019 | Springer International Publishing | |
| 926 | Soft Computing in Data Science: 4th International Conference, SCDS 2018, Bangkok, Thailand, August 15-16, 2018, Proceedings | Bee Wah Yap, Azlinah Hj Mohamed, Michael W. Berry | 2019 | Springer Singapore | |
| 927 | Advances in Data Science: Third International Conference on Intelligent Information Technologies, ICIIT 2018, Chennai, India, December 11–14, 2018, Proceedings | Leman Akoglu, Emilio Ferrara, Mallayya Deivamani, Ricardo Baeza-Yates, Palanisamy Yogesh | 2019 | Springer Singapore | |
| 928 | Data Science with Julia | Paul D. McNicholas, Peter A. Tait | 2019 | CRC Press | |
| 929 | Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib | Robert Johansson | 2019 | Apress | |
| 930 | Python for Data Science, 2nd Edition | John Paul Mueller, Luca Massaron | 2019 | Wiley | |
| 931 | Journal of Financial Data Science | Marco Lopez de Prado | 2019 | IPR Journals | |
| 932 | The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science | Alex Gorelik | 2019 | O’Reilly Media | |
| 933 | Learn Rstudio Ide: Quick, Effective, and Productive Data Science | Matthew Campbell | 2019 | Apress | |
| 934 | Learn RStudio IDE: Quick, Effective, and Productive Data Science | Matthew Campbell | 2019 | Apress | |
| 935 | Data Science for Healthcare: Methodologies and Applications | Sergio Consoli, Diego Reforgiato Recupero, Milan Petkovi? | 2019 | Springer International Publishing | |
| 936 | Machine Learning, Optimization, and Data Science: 4th International Conference, LOD 2018, Volterra, Italy, September 13-16, 2018, Revised Selected Papers | Giuseppe Nicosia, Panos Pardalos, Giovanni Giuffrida, Renato Umeton, Vincenzo Sciacca | 2019 | Springer International Publishing | |
| 937 | Data Science and Digital Business | Fausto Pedro García Márquez, Benjamin Lev | 2019 | Springer International Publishing | |
| 938 | Data science: concepts and practice | Deshpande, Balachandre; Kotu, Vijay | 2019 | Elsevier | |
| 939 | Data science in practice | Said, Alan; Torra, Vicenç (eds.) | 2019 | Springer | |
| 940 | Data Science from Scratch: First Principles with Python | Joel Grus | 2019 | O’Reilly Media | |
| 941 | The Real Work Of Data Science: Turning Data Into Information, Better Decisions, And Stronger Organizations | Ron S. Kenett, Thomas C. Redman | 2019 | Wiley | |
| 942 | Data Science Strategy For Dummies | Ulrika Jägare | 2019 | Wiley | |
| 943 | Data Science Strategy For Dummies | Ulrika Jägare; Lillian Pierson | 2019 | Wiley | |
| 944 | Data Science with Python and Dask | Jesse C. Daniel | 2019 | Manning Publications | |
| 945 | Python Data Science: The Ultimate Handbook for Beginners on How to Explore NumPy for Numerical Data, Pandas for Data Analysis, IPython, Scikit-Learn and Tensorflow for Machine Learning and Business | Steve Blair | 2019 | Steve Blair | |
| 946 | Practical Data Science with Python 3 | Ervin Varga | 2019 | Apress | |
| 947 | Practical Data Science with Python 3 | Ervin Varga | 2019 | Apress | |
| 948 | Managing Your Data Science Projects: Learn Salesmanship, Presentation, and Maintenance of Completed Models | Robert de Graaf | 2019 | Apress | |
| 949 | Applied Data Science: Lessons Learned for the Data-Driven Business | Martin Braschler, Thilo Stadelmann, Kurt Stockinger | 2019 | Springer International Publishing | |
| 950 | Big Data Science and Analytics for Smart Sustainable Urbanism: Unprecedented Paradigmatic Shifts and Practical Advancements | Simon Elias Bibri | 2019 | Springer International Publishing | |
| 951 | Theory and Application of Reuse, Integration, and Data Science | Thouraya Bouabana-Tebibel, Lydia Bouzar-Benlabiod, Stuart H. Rubin | 2019 | Springer International Publishing | |
| 952 | Advances in Computing and Data Sciences: Third International Conference, ICACDS 2019, Ghaziabad, India, April 12–13, 2019, Revised Selected Papers, Part I | Mayank Singh, P.K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören, Rekha Kashyap | 2019 | Springer Singapore | |
| 953 | Advances in Computing and Data Sciences: Third International Conference, ICACDS 2019, Ghaziabad, India, April 12–13, 2019, Revised Selected Papers, Part II | Mayank Singh, P.K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören, Rekha Kashyap | 2019 | Springer Singapore | |
| 954 | Data science with Julia | McNicholas, Paul D.; Tait, Peter A | 2019 | CRC Press | |
| 955 | Statistical methods for materials science: the data science of microstructure characterization | Bouman, Charles Addison; De Graef, Marc; Drummy, Lawrence F.; Simmons, Jeffrey P | 2019 | CRC Press | |
| 956 | Practical Data Science with SAP: Machine Learning Techniques for Enterprise Data | Greg Foss; Paul Modderman | 2019 | O’Reilly Media | |
| 957 | Business Data Science: Combining Machine Learning and Economics to Optimize, Automate, and Accelerate Business Decisions | Matt Taddy | 2019 | McGraw-Hill Education | |
| 958 | Model-Based Clustering and Classification for Data Science: With Applications in R | Charles Bouveyron; Gilles Celeux; T. Brendan Murphy; Adrian E. Raftery | 2019 | Cambridge University Press | |
| 959 | Managing Data Science: Effective Strategies To Manage Data Science Projects And Build A Sustainable Team | Kirill Dubovikov | 2019 | Packt Publishing | |
| 960 | Julia Quick Syntax Reference: A Pocket Guide for Data Science Programming | Antonello Lobianco | 2019 | Apress | |
| 961 | Julia Quick Syntax Reference: A Pocket Guide for Data Science Programming | Antonello Lobianco | 2019 | Apress | |
| 962 | Hands-on Scikit-Learn for Machine Learning Applications: Data Science Fundamentals with Python | David Paper | 2019 | Apress | |
| 963 | Data Science With Python And Dask | Jesse C. Daniel | 2019 | Manning Publications | |
| 964 | R Data Science Quick Reference: A Pocket Guide to APIs, Libraries, and Packages | Thomas Mailund | 2019 | Apress | |
| 965 | Julia Quick Syntax Reference: A Pocket Guide for Data Science Programming | Antonello Lobianco | 2019 | Apress | |
| 966 | Research in Data Science | Ellen Gasparovic, Carlotta Domeniconi | 2019 | Springer International Publishing | |
| 967 | New Statistical Developments in Data Science: SIS 2017, Florence, Italy, June 28-30 | Alessandra Petrucci, Filomena Racioppi, Rosanna Verde | 2019 | Springer International Publishing | |
| 968 | Data Science Careers, Training, and Hiring: A Comprehensive Guide to the Data Ecosystem: How to Build a Successful Data Science Career, Program, or Unit | Renata Rawlings-Goss | 2019 | Springer International Publishing | |
| 969 | Data Science and Visual Computing | Rae Earnshaw, John Dill, David Kasik | 2019 | Springer International Publishing | |
| 970 | Bayesian Optimization and Data Science | Francesco Archetti, Antonio Candelieri | 2019 | Springer International Publishing | |
| 971 | Creativity in Intelligent Technologies and Data Science: Third Conference, CIT&DS 2019, Volgograd, Russia, September 16–19, 2019, Proceedings, Part I | Alla G. Kravets, Peter P. Groumpos, Maxim Shcherbakov, Marina Kultsova | 2019 | Springer International Publishing | |
| 972 | Creativity in Intelligent Technologies and Data Science: Third Conference, CIT&DS 2019, Volgograd, Russia, September 16–19, 2019, Proceedings, Part II | Alla G. Kravets, Peter P. Groumpos, Maxim Shcherbakov, Marina Kultsova | 2019 | Springer International Publishing | |
| 973 | Selected Contributions on Statistics and Data Science in Latin America: 33 FNE and 13 CLATSE, 2018, Guadalajara, Mexico, October 1?5 | Isadora Antoniano-Villalobos, Ramsés H. Mena, Manuel Mendoza, Lizbeth Naranjo, Luis E. Nieto-Barajas | 2019 | Springer International Publishing | |
| 974 | Advances in Data Science, Cyber Security and IT Applications: First International Conference on Computing, ICC 2019, Riyadh, Saudi Arabia, December 10–12, 2019, Proceedings, Part I | Auhood Alfaries, Hanan Mengash, Ansar Yasar, Elhadi Shakshuki | 2019 | Springer International Publishing | |
| 975 | Advances in Data Science, Cyber Security and IT Applications: First International Conference on Computing, ICC 2019, Riyadh, Saudi Arabia, December 10–12, 2019, Proceedings, Part II | Auhood Alfaries, Hanan Mengash, Ansar Yasar, Elhadi Shakshuki | 2019 | Springer International Publishing | |
| 976 | Data Science – Analytics and Applications: Proceedings of the 2nd International Data Science Conference – iDSC2019 | Peter Haber, Thomas Lampoltshammer, Manfred Mayr | 2019 | Springer Fachmedien Wiesbaden;Springer Vieweg | |
| 977 | Data Science: 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019, Guilin, China, September 20–23, 2019, Proceedings, Part I | Xiaohui Cheng, Weipeng Jing, Xianhua Song, Zeguang Lu | 2019 | Springer Singapore | |
| 978 | Data Science: 5th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2019, Guilin, China, September 20–23, 2019, Proceedings, Part II | Rui Mao, Hongzhi Wang, Xiaolan Xie, Zeguang Lu | 2019 | Springer Singapore | |
| 979 | Soft Computing in Data Science: 5th International Conference, SCDS 2019, Iizuka, Japan, August 28–29, 2019, Proceedings | Michael W. Berry, Bee Wah Yap, Azlinah Mohamed, Mario Köppen | 2019 | Springer Singapore | |
| 980 | Data science using Python and R | Larose, Chantal D.; Larose, Daniel T | 2019 | John Wiley & Sons | |
| 981 | The Real Work of Data Science | Ron S. Kenett & Thomas C. Redman | 2019 | Wiley | |
| 982 | Python for data science [for dummies] | Luca Massaron, John Paul Mueller | 2019 | For Dummies | |
| 983 | Statistical Inference via Data Science: A ModernDive into R and the Tidyverse | Chester Ismay; Albert Y. Kim | 2019 | CRC Press | |
| 984 | Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics | Max A. Little | 2019 | Oxford University Press, USA | |
| 985 | Machine Learning for Signal Processing: Data Science, Algorithms, and Computational Statistics | Max A. Little | 2019 | Oxford University Press, USA | |
| 986 | JupyterLab Quick Start Guide: A beginner's guide to the next-gen, web-based interactive computing environment for data science | Lindsay Richman, Melissa Ferrari, Joseph Oladokun, Wesley Banfield , Dan Toomey | 2019 | Packt Publishing | |
| 987 | Introduction to Data Science Data Analysis and Prediction Algorithms with R | Rafael A. Irizarry | 2019 | CRC Press | |
| 988 | Statistical Inference via Data Science: A ModernDive into R and the Tidyverse (Chapman & Hall/CRC The R Series) | Chester Ismay, Albert Y. Kim | 2019 | Chapman and Hall/CRC | |
| 989 | Handbook of Data Science Approaches for Biomedical Engineering | Valentina Emilia Balas (editor) | 2019 | Academic Press | |
| 990 | Model-Based Clustering and Classification for Data Science: With Applications in R | Charles Bouveyron, Gilles Celeux, T. Brendan Murphy, Adrian E. Raftery | 2019 | Cambridge University Press | |
| 991 | Data Science for Business and Decision Making | Luiz Paulo Fávero, Patrícia Belfiore | 2019 | Academic Press | |
| 992 | Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications | Andrew Kelleher; Adam Kelleher | 2019 | Addison-Wesley | |
| 993 | Julia Quick Syntax Reference: A Pocket Guide for Data Science Programming | Antonello Lobianco | 2019 | Apress | |
| 994 | Data Science with Julia | Paul D. McNicholas, Peter Tait | 2019 | Chapman and Hall/CRC | |
| 995 | Data Science and Machine Learning: Mathematical and Statistical Methods (Chapman & Hall/Crc Machine Learning & Pattern Recognition) | Dirk P. Kroese, Zdravko Botev, Thomas Taimre, Radislav Vaisman | 2019 | Chapman and Hall/CRC | |
| 996 | Python for Data Analysis: A Basic Programming Crash Course to Learn Python Data Science Essential Tools, Pandas, and Numpy with Questions and Answer from Beginners to Advanced | Oscar Scratch | 2019 | | |
| 997 | Data Science: Theory, Analysis and Applications | Qurban A Memon (editor), Shakeel Ahmed Khoja (editor) | 2019 | CRC Press | |
| 998 | Regression Models for Data Science in R A companion book for the Coursera Regression Models class | Brian Caffo | 2019 | Leanpub | |
| 999 | Data Science: Theory, Analysis and Applications | Qurban A Memon (editor), Shakeel Ahmed Khoja (editor) | 2019 | CRC Press | |
| 1000 | Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support (11th Edition) | Ramesh Sharda, Dursun Delen, Efraim Turban | 2019 | Pearson | |
| 1001 | DATA SCIENCE FROM SCRATCH: From Data Visualization To Manipulation. It Is The Easy Way! All You Need For Business Using The Basic Principles Of Python And Beyond [REVISED & EXPANDED EDITION] | WILLIAM GRAY | 2019 | | |
| 1002 | Python Machine Learning: The Ultimate Guide for Beginners to Machine Learning with Python, Programming and Deep Learning, Artificial Intelligence, Neural Networks, and Data Science | Moore, Richard; Moore, Richard | 2019 | | |
| 1003 | Python Data Science: An Ultimate Guide for Beginners to Learn Fundamentals of Data Science Using Python | Christopher Wilkinson | 2019 | | |
| 1004 | Python Programming: The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI and More With Practical Exercises and Interview Questions | Nicholas Ayden | 2019 | | |
| 1005 | Python Programming: The Complete Guide to Learn Python for Data Science, AI, Machine Learning, GUI and More With Practical Exercises and Interview Questions | Nicholas Ayden | 2019 | | |
| 1006 | Python Programming: The Crash Course for Python Projects – Learn the Secrets of Machine Learning, Data Science Analysis and Artificial Intelligence. Introduction to Deep Learning for Beginners | Sivakumar Munusami | 2019 | | |
| 1007 | Python Data Science: The Ultimate Crash Course for Data Analysis | Mark Solomon Brown | 2019 | | |
| 1008 | PYTHON FOR DATA SCIENCE: The Ultimate Beginners’ Guide to Learning Python Data Science Step by Step | Ethan Williams | 2019 | | |
| 1009 | Python for Data Science For Dummies | John Paul Mueller;Luca Massaron | 2019 | John Wiley & Sons | |
| 1010 | Introduction to Data Science-Data Analysis and Prediction Algorithms with R | By Rafael A. Irizarry | 2019 | CRC | |
| 1011 | Data Science from Scratch With Python: A crash course for beginners to learn Data Analysis, Programming and Machine Learning with Python | Geddis, Steve | 2019 | | |
| 1012 | The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science | Alex Gorelik | 2019 | O'Reilly Media | |
| 1013 | Learn Python by building data science applications: a fun, project-based guide to learning Python 3 while building real-world apps | Kats, Philipp;Katz, David | 2019 | Packt Publishing | |
| 1014 | Data Science from Scratch | Grus, Joel | 2019 | O'Reilly Media, Inc | |
| 1015 | Python Machine Learning: The Crash Course for Beginners to Programming and Deep Learning, Artificial Intelligence, Neural Networks and Data Science. Scikit Learn, Tensorflow, Pandas and Numpy. | Smith, Django | 2019 | | |
| 1016 | Python for Beginners: The Absolute Beginners Guide to Python Programming, Data Science and Predictive Model. A Practical Introduction to Object Oriented Programming Language. (Essentials Cookbook) | Smith, Django | 2019 | | |
| 1017 | Principles of Strategic Data Science: Creating Value from Data, Big and Small | Prevos, Peter | 2019 | Packt Publishing, Limited | |
| 1018 | Data science with Julia | McNicholas, Paul D.;Tait, Peter A | 2019 | CRC Press | |
| 1019 | Python for Data Science For Dummies | Massaron, Luca;John Paul Mueller | 2019 | For Dummies | |
| 1020 | Python for data science | John Mueller; Luca Massaron | 2019 | John Wiley & Sons | |
| 1021 | Data science in practice | Said, Alan;Torra, Vicenç | 2019 | Springer | |
| 1022 | Model-Based Clustering and Classification for Data Science: With Applications in R | Bouveyron C | 2019 | Cambridge University Press | |
| 1023 | Bayesian optimization and data science | Archetti F., Candelieri A | 2019 | Springer | |
| 1024 | Data science and big data analytics ACM-WIR 2018 | Mishra D.K (ed.) | 2019 | Springer | |
| 1025 | Machine Learning, Optimization, and Data Science, 5 Conference, LOD 2019 | | 2019 | Springer | |
| 1026 | The 9 Pitfalls of Data Science | Gary Smith, Jay Cordes | 2019 | Oxford University Press | |
| 1027 | Hands-on data science for marketing: improve your marketing strategies with machine learning using Python and R | Hwang, Yoon Hyup | 2019 | Packt Publishing | |
| 1028 | Data Science: The Executive Summary - A Technical Book for Non-Technical Professionals | Field Cady | 2019 | | |
| 1029 | Managing Data Science | Kirill Dubovikov | 2019 | Packt Publishing | |
| 1030 | The enterprise big data lake: delivering the promise of big data and data science | Gorelik, Alex | 2019 | O'Reilly Media, Inc | |
| 1031 | Python data science: an ultimate guide for beginners to learn fundamentals of data science using Python | Wilkinson, Christopher | 2019 | Christopher Wilkinson | |
| 1032 | Data science at scale with python and dask | Daniel, Jesse C | 2019 | Manning Publications; O'reilly Media | |
| 1033 | Data Science with Python: Combine Python with machine learning principles to discover hidden patterns in raw data | Chopra, Rohan;England, Aaron;Alaudeen, Mohamed Noordeen | 2019 | Packt Publishing | |
| 1034 | Python Data Science: How to Learn Step by Step Programming, Data Analytics, and Coding Essentials Tools | Hacking, Tony | 2019 | | |
| 1035 | Python Programming: The Crash Course for Python Learn the Secrets of Machine Learning, Data Science Analysis and Artificial Intelligence. Introduction to Deep Learning for Beginners | Matthes, Marc | 2019 | | |
| 1036 | Python Programming: The Ultimate Crash Course for Learning Python Quickly, with Practical Examples and Coding Language Tricks for Beginners. Computer Programming for Data Science and Machine Learning | Howard, Daniel | 2019 | | |
| 1037 | Data Science from Scratch: First Principles with Python | Joel Grus | 2019 | O'Reilly Media | |
| 1038 | Textual Data Science with R (Chapman & Hall/CRC Computer Science & Data Analysis) | Mónica Bécue-Bertaut | 2019 | Chapman and Hall/CRC | |
| 1039 | The Python Workshop: Learn to code in Python and kickstart your career in software development or data science | Andrew Bird, Dr Lau Cher Han, Mario Corchero Jimenez, Graham Lee, Corey Wade | 2019 | Packt Publishing | |
| 1040 | Data Science Projects with Python: A case study approach to successful data science projects using Python, pandas, and scikit-learn | Stephen Klosterman | 2019 | | |
| 1041 | Data Science Careers, Training, and Hiring: A Comprehensive Guide to the Data Ecosystem: How to Build a Successful Data Science Career, Program, or Unit | Renata Rawlings-Goss | 2019 | Springer | |
| 1042 | Data Science Using Python and R. | Chantal D. Larose | 2019 | | |
| 1043 | Data Science Foundations Tools and Techniques: Core Skills for Quantitative Analysis with R and Git | Michael Freeman, Joel Ross | 2019 | Addison-Wesley | |
| 1044 | Data Science: Theory, Analysis and Applications | Qurban A Memon (editor), Shakeel Ahmed Khoja (editor) | 2019 | CRC Press | |
| 1045 | Statistical Inference via Data Science: A ModernDive into R and the Tidyverse | Chester Ismay; Albert Y. Kim | 2019 | CRC Press | |
| 1046 | Data Science from Scratch: First Principles with Python | Joel Grus | 2019 | O'Reilly Media | |
| 1047 | Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support | Ramesh Sharda, Dursun Delen, Efraim Turban | 2019 | Pearson | |
| 1048 | Feature Engineering and Selection: A Practical Approach for Predictive Models (Chapman & Hall/CRC Data Science Series) | Max Kuhn, Kjell Johnson | 2019 | Chapman and Hall/CRC | |
| 1049 | Basketball Data Science | Zuccolotto, Paola; Manisera, Marica; | 2019 | CRC Press LLC | |
| 1050 | The Python Workshop: Learn to code in Python and kickstart your career in software development or data science | Andrew Bird, Dr Lau Cher Han, Mario Corchero Jimenez, Graham Lee, Corey Wade | 2019 | Packt Publishing | |
| 1051 | Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications (Addison-Wesley Data & Analytics Series) | Andrew Kelleher, Adam Kelleher | 2019 | Addison-Wesley Professional | |
| 1052 | The Digital Cell: Cell Biology as a Data Science | Stephen J. Royle | 2019 | Cold Spring Harbor Laboratory Press | |
| 1053 | Practical Data Science with Python 3: Synthesizing Actionable Insights from Data | Ervin Varga | 2019 | Apress | |
| 1054 | Python Programming: This Book Includes: Python Programming For Beginners + Tips And Tricks + Data Science Learn Computer Languages in One Day Effectively (#2020 Version) | Steve Tudor | 2019 | | |
| 1055 | Data Science from Scratch: First Principles with Python, Second Edition | Joel Grus | 2019 | O'Reilly Media | |
| 1056 | Coffee Break NumPy: A Simple Road to Data Science Mastery That Fits Into Your Busy Life | Christian Mayer, Lukas Rieger, Zohaib Riaz | 2019 | Independently published | |
| 1057 | Python for Data Science for Dummies | John Paul Mueller; Luca Massaron | 2019 | For Dummies | |
| 1058 | Hands-On Data Science with the Command Line: Automate Everyday Data Science Tasks Using Command-Line Tools | Jason Morris, Chris McCubbin, Raymond Page | 2019 | Packt Publishing | |
| 1059 | Coffee Break NumPy: A Simple Road to Data Science Mastery That Fits Into Your Busy Life | Christian Mayer, Lukas Rieger, Zohaib Riaz | 2019 | finxter.com | |
| 1060 | Coffee Break NumPy: A Simple Road to Data Science Mastery That Fits Into Your Busy Life | Christian Mayer, Lukas Rieger, Zohaib Riaz | 2019 | finxter.com | |
| 1061 | Lean Analytics: The Ultimate Guide to an Agile Way of Analytics, Advanced Analytics, and Data Science for a Superior Way to Build Startups and Run Enterprises | James Edge | 2019 | James Edge | |
| 1062 | Data Science for Marketing Analytics: Achieve your marketing goals with the data analytics power of Python | Tommy Blanchard; Debasish Behera; Pranshu Bhatnagar | 2019 | Packt Publishing | |
| 1063 | Data Science with Python: Combine Python with machine learning principles to discover hidden patterns in raw data | Chopra, Rohan; England, Aaron; Alaudeen, Mohamed Noordeen | 2019 | Packt Publishing | |
| 1064 | The 9 Pitfalls of Data Science | Gary Smith; Jay Cordes | 2019 | OUP Oxford | |
| 1065 | Crack Your Next Data Science Interview with 300+ Questions: SQL,Statistics,Python,R,Aptitude,Project Description | TheDataMonk; TheDataMonk | 2019 | | |
| 1066 | Supervised and Unsupervised Learning for Data Science | Michael W. Berry; Azlinah Mohamed; Bee Wah Yap | 2019 | Springer Nature | |
| 1067 | Data Science | Robert Stahlbock; Gary M. Weiss; Mahmoud Abou-Nasr | 2019 | C. S. R. E. A. | |
| 1068 | The Python Workshop: Learn to code in Python and kickstart your career in software development or data science | Andrew Bird, Dr Lau Cher Han, Mario Corchero Jimenez, Graham Lee, Corey Wade | 2019 | Packt Publishing | |
| 1069 | Data Science and Machine Learning: Mathematical and Statistical Methods (Instructor Solution Manual, Solutions) | Dirk P. Kroese, Zdravko Botev, Thomas Taimre, Radislav Vaisman | 2019 | Chapman and Hall/CRC | |
| 1070 | Introduction to Data Science: Data Analysis and Prediction Algorithms with R (Instructor Solution Manual, Solutions) | Rafael A. Irizarry, Amy L. Gill | 2019 | Chapman and Hall/CRC | |
| 1071 | Data Science Programming All-In-One For Dummies | Mueller | 2019 | For Dummies | |
| 1072 | Fundamentals of Clinical Data Science | Pieter Kubben (editor), Michel Dumontier (editor), Andre Dekker (editor) | 2019 | Springer | |
| 1073 | Data science fundamentals for Python and MongoDB | Paper, David | 2018;2018 | Apress | |
| 1074 | Data Science on the Google Cloud Platform | Lakshmanan, Valliappa | 2018;2017 | Ingram Publisher Services [distributor, O'Reilly Media, Incorporated | |
| 1075 | Data Science on the Google Cloud Platform: Implementing End-to-end Real-time Data Pipelines: from Ingest to Machine Learning | Lakshmanan, Valliappa | 2018;2017 | Oreilly & Associates Inc;Ingram Publisher Services [distributor, O'Reilly Media, Incorporated | |
| 1076 | Data Science Foundations. Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics | Fionn Murtagh | 2018 | CRC | |
| 1077 | Analytics and Data Science: Advances in Research and Pedagogy | Amit V. Deokar, Ashish Gupta, Lakshmi S. Iyer, Mary C. Jones (eds.) | 2018 | Springer International Publishing | |
| 1078 | Data Science on the Google Cloud Platform | Valliappa Lakshmanan | 2018 | O’Reilly Media | |
| 1079 | Frontiers in Data Science | Matthias Dehmer, Frank Emmert-Streib | 2018 | CRC Press | |
| 1080 | Geospatial Data Science Techniques and Applications | Hassan A. Karimi, Bobak Karimi | 2018 | CRC Press | |
| 1081 | Python for R users : a data science approach | Ohri, Ajay | 2018 | Wiley | |
| 1082 | Practical Data Science. A Guide to building the Technology Stack for Turning Data Lakes into Business Assets | Andreas François Vermeulen | 2018 | Apress | |
| 1083 | Data Science Analytics and Applications: First International Conference, DaSAA 2017, Chennai, India, January 4-6, 2017, Revised Selected Papers | Shriram R, Mak Sharma | 2018 | Springer | |
| 1084 | Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets | Andreas François Vermeulen (auth.) | 2018 | Apress | |
| 1085 | Data Science for Transport: A Self-Study Guide with Computer Exercises | Charles Fox (auth.) | 2018 | Springer International Publishing | |
| 1086 | Practical Web Scraping for Data Science: Best Practices and Examples with Python | Seppe vanden Broucke, Bart Baesens | 2018 | Apress | |
| 1087 | Practical Web Scraping for Data Science: Best Practices and Examples with Python | Seppe vanden Broucke, Bart Baesens | 2018 | Apress | |
| 1088 | Data Science Fundamentals for Python and MongoDB | David Paper | 2018 | Apress | |
| 1089 | Data Science | John D. Kelleher, Brendan Tierney | 2018 | The MIT Press | |
| 1090 | Data Science | John D. Kelleher, Brendan Tierney | 2018 | The MIT Press | |
| 1091 | Targeted Learning in Data Science | Mark J. van der Laan, Sherri Rose | 2018 | Springer International Publishing | |
| 1092 | Recent Developments in Data Science and Business Analytics | Madjid Tavana, Srikanta Patnaik | 2018 | Springer International Publishing | |
| 1093 | Data Science Landscape | Usha Mujoo Munshi, Neeta Verma | 2018 | Springer Singapore | |
| 1094 | Data Science and Analytics | Brajendra Panda, Sudeep Sharma, Nihar Ranjan Roy | 2018 | Springer Singapore | |
| 1095 | Advances in Machine Learning and Data Science | Damodar Reddy Edla, Pawan Lingras, Venkatanareshbabu K. | 2018 | Springer Singapore | |
| 1096 | Robust quality : powerful integration of data science and process engineering. | Rajesh Jugulum | 2018 | Productivity Press | |
| 1097 | Data Science and Predictive Analytics. Biomedical and Health Applications using R | Ivo D. Dinov | 2018 | Springer | |
| 1098 | MALWARE DATA SCIENCE Attack Detection and Attribution | Joshua Saxe | 2018 | No Starch Press | |
| 1099 | Data Visualization and Exploration with R A Practical Guide to Using R RStudio and Tidyverse for Data Visualization Exploration and Data Science Applications | Eric Pimpler | 2018 | Geospatial Training Services | |
| 1100 | Machine Learning Algorithms Popular algorithms for data science and machine learning | Giuseppe Bonaccorso | 2018 | Packt | |
| 1101 | Python Data Science Essentials | Alberto Boschetti, Luca Massaron | 2018 | Packt Publishing | |
| 1102 | Beginning Data Science with Python and Jupyter | Alex Galea | 2018 | Packt Publishing | |
| 1103 | AI in Marketing, Sales and Service: How Marketers without a Data Science Degree can use AI, Big Data and Bots | Peter Gentsch | 2018 | Palgrave Macmillan | |
| 1104 | Hands-On Data Science with Anaconda | Yuxing Yan, James Yan | 2018 | Packt Publishing | |
| 1105 | Quantitative Analysis for System Applications: Data Science and Analytics Tools and Techniques | Daniel A. McGrath Ph.D. [Daniel A. McGrath Ph.D.] | 2018 | Technics Publications | |
| 1106 | Malware Data Science | Hillary Sanders & Joshua Saxe [Hillary Sanders] | 2018 | No Starch Press | |
| 1107 | Python Data Science Essentials - Third Edition: A Beginner’s Guide Covering Essential Data Science Principles, Tools, and Techniques | Luca Massaron & Alberto Boschetti [Luca Massaron] | 2018 | Packt Publishing | |
| 1108 | Data Science Algorithms in a Week - Second Edition | David Natingga [David Natingga] | 2018 | Packt Publishing | |
| 1109 | AI for Data Science: Artificial Intelligence Frameworks and Functionality for Deep Learning, Optimization, and Beyond | Zacharias Voulgaris PhD & Yunus Emrah Bulut [Voulgaris, Zacharias PhD & Bulut, Yunus Emrah] | 2018 | Technics Publications | |
| 1110 | Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R, First Edition | Michael Freeman & Joel Ross [Michael Freeman] | 2018 | Addison-Wesley Professional | |
| 1111 | Beginning Data Science With Python and Jupyter: Use Powerful Industry-Standard Tools Within Jupyter and the Python Ecosystem to Unlock New, Actionable Insights From Your Data | Alex Galea [Galea, Alex] | 2018 | Packt Publishing | |
| 1112 | Practical Data Science: A Guide to Building the Technology Stack for Turning Data Lakes into Business Assets | Andreas Fran?§ois Vermeulen [Andreas Fran?§ois Vermeulen] | 2018 | Apress | |
| 1113 | Data Science Fundamentals for Python and MongoDB | David Paper [David Paper] | 2018 | Apress | |
| 1114 | Data Science with SQL Server Quick Start Guide | Dejan Sarka [Dejan Sarka] | 2018 | Packt Publishing | |
| 1115 | AI for Data Science: Artificial Intelligence Frameworks and Functionality for Deep Learning, Optimization, and Beyond | Zacharias Voulgaris, Yunus Emrah Bulut | 2018 | Technics Publications | |
| 1116 | Thoughtful Data Science | David Taieb | 2018 | Packt Publishing | |
| 1117 | Data Science with R A Step By Step Guide With Visual Illustrations and Examples | Andrew Oleksy | 2018 | Andrew Oleksy | |
| 1118 | Applied Data Science with Python and Jupyter | Alex Galea | 2018 | Packt Publishing | |
| 1119 | Robust Quality: Powerful Integration of Data Science and Process Engineering | Rajesh Jugulum | 2018 | CRC Press | |
| 1120 | Studies in Neural Data Science: StartUp Research 2017, Siena, Italy, June 25–27 | Antonio Canale, Daniele Durante, Lucia Paci, Bruno Scarpa | 2018 | Springer International Publishing | |
| 1121 | Data Science and Predictive Analytics: Biomedical and Health Applications using R | Ivo D. Dinov | 2018 | Springer International Publishing | |
| 1122 | Making Healthcare Green: The Role of Cloud, Green IT, and Data Science to Reduce Healthcare Costs and Combat Climate Change | Nina S. Godbole, John P. Lamb | 2018 | Springer International Publishing | |
| 1123 | Data Science Thinking: The Next Scientific, Technological and Economic Revolution | Longbing Cao | 2018 | Springer International Publishing | |
| 1124 | Materials Discovery and Design: By Means of Data Science and Optimal Learning | Turab Lookman, Stephan Eidenbenz, Frank Alexander, Cris Barnes | 2018 | Springer International Publishing | |
| 1125 | Advances in Computing and Data Sciences: Second International Conference, ICACDS 2018, Dehradun, India, April 20-21, 2018, Revised Selected Papers, Part I | Mayank Singh, P. K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören | 2018 | Springer Singapore | |
| 1126 | Advances in Computing and Data Sciences: Second International Conference, ICACDS 2018, Dehradun, India, April 20-21, 2018, Revised Selected Papers, Part II | Mayank Singh, P. K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören | 2018 | Springer Singapore | |
| 1127 | Data Science: 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018, Zhengzhou, China, September 21-23, 2018, Proceedings, Part I | Qinglei Zhou, Yong Gan, Weipeng Jing, Xianhua Song, Yan Wang, Zeguang Lu | 2018 | Springer Singapore | |
| 1128 | Data Science: 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018, Zhengzhou, China, September 21-23, 2018, Proceedings, Part II | Qinglei Zhou, Qiguang Miao, Hongzhi Wang, Wei Xie, Yan Wang, Zeguang Lu | 2018 | Springer Singapore | |
| 1129 | 500 Most Important Data Science Interview Questions and Answers | Vamsee Puligadda | 2018 | Indian Wolf Publications | |
| 1130 | Thoughtful Data Science: A Programmer’s Toolset for Data Analysis and Artificial Intelligence with Python, Jupyter Notebook, and PixieDust | David Taieb | 2018 | Packt Publishing | |
| 1131 | Robust Quality: Powerful Integration of Data Science and Process Engineering | Jugulum, Rajesh | 2018 | Chapman and Hall/CRC | |
| 1132 | Python vs. R for Data Science | Michael Grogan | 2018 | O’Reilly Media, Inc. | |
| 1133 | Advances in Machine Learning and Data Science: Recent Achievements and Research Directives | Lingras, Pawan; Reddy Edla, Damodar; Venkatanareshbabu K et al. (eds.) | 2018 | Springer Singapore | |
| 1134 | Hands-On Data Science with R: Techniques to perform data manipulation and mining to build smart analytical models using R | Vitor Bianchi Lanzetta; Nataraj DasGupta; Ricardo Anjoleto Farias | 2018 | Packt Publishing | |
| 1135 | Executive Data Science: A Guide To Training And Managing The Best Data Scientists | Brian Caffo, Roger D. Peng, Jeffrey T. Leek | 2018 | lulu.com | |
| 1136 | Malware Data Science: Attack Detection And Attribution | Joshua Saxe, Hillary Sanders | 2018 | No Starch Press | |
| 1137 | Malware Data Science: Attack Detection and Attribution | Joshua Saxe, Hillary Sanders | 2018 | No Starch Press | |
| 1138 | IPython Interactive Computing and Visualization Cookbook : Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook | Cyrille Rossant | 2018 | Packt Publishing Limited | |
| 1139 | Data Science Fundamentals for Python and MongoDB | David Paper | 2018 | Apress | |
| 1140 | Business intelligence, analytics, and data science a managerial perspective | Delen, Dursun; Sharda, Ramesh; Turban, Efraim | 2018 | Pearson | |
| 1141 | Textual data science using R | Bécue-Bertaut, Monica | 2018 | CRC Press | |
| 1142 | Python: Real-World Data Science | Sebastian Raschka, Robert Layton, Martin Czygan, Phuong Vo.T.H, Fabrizio Romano, Dusty Phillips | 2018 | Packt Publishing | |
| 1143 | Data Science: Concepts and Practice | Vijay Kotu | 2018 | Morgan Kaufmann | |
| 1144 | Data Science Fundamentals for Python and MongoDB | David Paper | 2018 | Apress | |
| 1145 | Malware Data Science: Attack Detection and Attribution | Joshua Saxe; Hillary Sanders | 2018 | No Starch Press | |
| 1146 | Malware Data Science: Attack Detection and Attribution | Joshua Saxe; Hillary Sanders | 2018 | No Starch Press | |
| 1147 | Data Science and Predictive Analytics: Biomedical and Health Applications using R | Ivo D. Dinov | 2018 | Springer | |
| 1148 | AI for Data Science: Artificial Intelligence Frameworks and Functionality for Deep Learning, Optimization, and Beyond | Zacharias Voulgaris, Yunus Emrah Bulut | 2018 | Technics Publications | |
| 1149 | AI for Data Science: Artificial Intelligence Frameworks and Functionality for Deep Learning, Optimization, and Beyond | Zacharias Voulgaris, Yunus Emrah Bulut | 2018 | Technics Publications | |
| 1150 | Programming Skills for Data Science | Michael Freeman; Joel Ross | 2018 | Addison-Wesley Professional | |
| 1151 | Analytics and Data Science Advances in Research and Pedagogy | Deokar, Amit V.;Gupta, Ashish;Iyer, Lakshmi S.;Jones, Mary C | 2018 | Springer International Publishing : Imprint: Springer | |
| 1152 | Introduction to Machine Learning with Python: A Guide for Beginners in Data Science | Daniel Nedal; Peters Morgan | 2018 | AI Sciences LLC | |
| 1153 | Data Science | Kelleher, John D.;Tierney, Brendan | 2018 | The MIT Press | |
| 1154 | Data science | Kelleher, John D.;Tierney, Brendan | 2018 | The MIT Press | |
| 1155 | Data science from scratch: the #1 data science guide for everything a data scientist needs to know: Python, linear algebra, statistics, coding, applications, neural networks, and decision trees | Cooper, Steven | 2018 | Steven Cooper;Data Science | |
| 1156 | Malware Data Science: Attack Detection and Attribution | Joshua Saxe;Hillary Sanders | 2018 | No Starch Press, Inc. | |
| 1157 | Statistics for Data Science | Miller, James D | 2018 | Packt Publishing | |
| 1158 | Data Science Fundamentals for Python and MongoDB | Paper, David | 2018 | Apress | |
| 1159 | The essentials of data science: knowledge discovery using R | Williams, Graham J | 2018 | Routledge | |
| 1160 | Python for R users: a data science approach | Ohri, Ajay | 2018 | Wiley | |
| 1161 | Frontiers In Data Science | Matthias Dehmer, Frank Emmert-Streib | 2018 | CRC Press/Taylor & Francis Group | |
| 1162 | Malware data science: attack detection and attribution | Sanders, Hillary;Saxe, Joshua | 2018 | No Starch Press | |
| 1163 | Practical Web Scraping for Data Science: Best Practices and Examples with Python | Broucke, Seppe vanden;Baesens, Bart | 2018 | Apress | |
| 1164 | Data science and predictive analytics: biomedical and health applications using R | Dinov, Ivo D | 2018 | Springer | |
| 1165 | Introduction to Machine Learning with Python: A Guide for Beginners in Data Science | Nedal, Daniel;Morgan, Peters | 2018 | Createspace Independent Publishing Platform;AI Sciences LLC | |
| 1166 | Data Science for Executives: Leveraging Machine Intelligence to Drive Business ROI | Nir Kaldero | 2018 | Lioncrest Publishing | |
| 1167 | An Introduction to Data Science | it-ebooks | 2018 | iBooker it-ebooks | |
| 1168 | Foundations of Data Science | it-ebooks | 2018 | iBooker it-ebooks | |
| 1169 | R for Data Science | it-ebooks | 2018 | iBooker it-ebooks | |
| 1170 | Statistical inference for data science | it-ebooks | 2018 | iBooker it-ebooks | |
| 1171 | Technical Notes On Using Data Science & Artificial Intelligence | it-ebooks | 2018 | iBooker it-ebooks | |
| 1172 | Data Science and Analytics for Ordinary People | it-ebooks | 2018 | iBooker it-ebooks | |
| 1173 | Data Science: Concepts and Practice | Vijay Kotu; Bala Deshpande | 2018 | Morgan Kaufmann Publishers | |
| 1174 | Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib | Robert Johansson | 2018 | Apress | |
| 1175 | Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib | Robert Johansson | 2018 | Apress | |
| 1176 | Data science from scratch: the #1 data science guide for everything a data scientist needs to know: Python, linear algebra, statistics, coding, applications, neural networks, and decision trees | Steven Cooper | 2018 | Steven Cooper | |
| 1177 | Topics in Data Science with Practical Examples | Abdolreza Abhari | 2018 | CreateSpace Independent Publishing Platform | |
| 1178 | Data Science and Predictive Analytics: Biomedical and Health Applications using R | Ivo D. Dinov | 2018 | Springer International Publishing | |
| 1179 | Beginning Data Science with Python and Jupyter: Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data | Alex Galea | 2018 | Packt Publishing | |
| 1180 | Beginning Data Science with Python and Jupyter: Use powerful tools to unlock actionable insights from data | Alex Galea | 2018 | Packt Publishing | |
| 1181 | Python Data Science Essentials | Luca Massaron; Alberto Boschetti; O'Reilly for Higher Education (Firm) | 2018 | | |
| 1182 | Data Science | John Kelleher; Brendan Tierney | 2018 | MIT Press | |
| 1183 | The Art of Data Science | Roger Peng, Elizabeth Matsui | 2018 | Lulu.com | |
| 1184 | Data Science Algorithms in a Week: Top 7 algorithms for scientific computing, data analysis, and machine learning, 2nd Edition | David Natingga | 2018 | Packt Publishing | |
| 1185 | Big Data Demystified: How to use big data, data science and AI to make better business decisions and gain competitive advantage | David Stephenson | 2018 | Pearson UK | |
| 1186 | New Advances in Statistics and Data Science | Ding-Geng Chen; Zhezhen Jin; Gang Li; Yi Li; Aiyi Liu; Yichuan Zhao | 2018 | Springer | |
| 1187 | Data Science and Predictive Analytics: Biomedical and Health Applications using R | Ivo D. Dinov | 2018 | Springer | |
| 1188 | Hands-On Data Science with SQL Server 2017 | Marek Chmel, Vladimir Muzny | 2018 | Packt Publishing | |
| 1189 | Hands-On Data Science with SQL Server 2017 | Marek Chmel, Vladimir Muzny | 2018 | Packt Publishing | |
| 1190 | Hands-On Data Science with SQL Server 2017 | Marek Chmel, Vladimir Muzny | 2018 | Packt Publishing | |
| 1191 | Big Data Demystified: How to use big data, data science and AI to make better business decisions and gain competitive advantage | David Stephenson | 2018 | FT Publishing International | |
| 1192 | Malware Data Science: Attack Detection and Attribution | Joshua Saxe; Hillary Sanders | 2018 | No Starch Press | |
| 1193 | Statistics for data science: leverage the power of statistics for data analysis, classification, regression, machine learning, and neural networks | Miller, James D | 2017;2018 | Packt | |
| 1194 | Business intelligence, analytics, and data science: a managerial perspective | Sharda, Ramesh;Delen, Dursun(Contributor);Turban, Efraim(Contributor) | 2017;2018 | Pearson | |
| 1195 | R for data science: import, tidy, transform, visualize, and model data | Grolemund, Garrett;Wickham, Hadley | 2017;2016 | O'Reilly Media | |
| 1196 | Python: real world machine learning: learn to solve challenging data science problems by building powerful machine learning models using Python | Boschetti, Alberto; Hearty, John; Joshi, Prateek; Massaron, Luca; Sjardin, Bastiaan | 2017;2016 | Packt Publishing | |
| 1197 | Data Science For Dummies | Lillian Pierson;Jake Porway | 2017;2015 | Wiley;For Dummies | |
| 1198 | Soft Methods for Data Science | Maria Brigida Ferraro, Paolo Giordani, Barbara Vantaggi, Marek Gagolewski, María Ángeles Gil, Przemys?aw Grzegorzewski, Olgierd Hryniewicz (eds.) | 2017 | Springer International Publishing | |
| 1199 | Algorithms for Data Science | Brian Steele, John Chandler, Swarna Reddy | 2017 | Springer | |
| 1200 | Principles of Data Science | Sinan Ozdemir | 2017 | Packt Publishing | |
| 1201 | Principles of Data Science | Sinan Ozdemir | 2017 | Packt Publishing | |
| 1202 | R for Data Science: Import, Tidy, Transform, Visualize, and Model Data | Hadley Wickham, Garrett Grolemund | 2017 | O’Reilly Media | |
| 1203 | The Data Science Handbook | Field Cady | 2017 | Wiley | |
| 1204 | The Data Science Handbook | Field Cady | 2017 | Wiley | |
| 1205 | The data science handbook | Cady, Field | 2017 | John Wiley & Sons | |
| 1206 | Introduction to Data Science. A Python Approach to Concepts, Techniques and Applications | Laura Igual, Santi Segu | 2017 | Springer | |
| 1207 | Scala: Guide for Data Science Professionals | Pascal Bugnion, Arun Manivannan, Patrick R. Nicolas | 2017 | Packt Publishing | |
| 1208 | Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist | Thomas Mailund | 2017 | Apress | |
| 1209 | Modern Data Science with R | Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton | 2017 | CRC | |
| 1210 | Modern Data Science with R | Benjamin Baumer, Daniel Kaplan, Nicholas Horton | 2017 | CRC | |
| 1211 | Functional Programming in R. Advanced Statistical Programming for Data Science, Analysis and Finance | Thomas Mailund | 2017 | Apress | |
| 1212 | Scala Guide for Data Science Professionals. Course in 3 Modules | Patrick R. Nicolas, Pascal Bugnion, Arun Manivannan | 2017 | Packt | |
| 1213 | Java for Data Science | Richard M. Reese, Jennifer L. Reese | 2017 | Packt | |
| 1214 | Data Science with Java: Practical Methods for Scientists and Engineers | Michael R. Brzustowicz | 2017 | O’Reilly Media | |
| 1215 | Java Data Science Cookbook. Explore the power of MLlib, DL4j, Weka and more | Rushdi Shams | 2017 | Packt | |
| 1216 | Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist | Thomas Mailund (auth.) | 2017 | Apress | |
| 1217 | Functional Programming in R: Advanced Statistical Programming for Data Science, Analysis and Finance | Thomas Mailund (auth.) | 2017 | Apress | |
| 1218 | Metaprogramming in R: Advanced Statistical Programming for Data Science, Analysis and Finance | Thomas Mailund (auth.) | 2017 | Apress | |
| 1219 | Advanced Object-Oriented Programming in R: Statistical Programming for Data Science, Analysis and Finance | Thomas Mailund (auth.) | 2017 | Apress | |
| 1220 | Data Science and Big Data: An Environment of Computational Intelligence | Witold Pedrycz, Shyi-Ming Chen (eds.) | 2017 | Springer International Publishing | |
| 1221 | Think Like a Data Scientist. Tackle the data science process step-by-step | Brian Godsey | 2017 | Manning Publications | |
| 1222 | Data Science Design manual | Stevven S Skiena | 2017 | Springer | |
| 1223 | The Data Science Design Manual | Steven S. Skiena | 2017 | Springer | |
| 1224 | Neural data science : a primer with MATLAB and Python | Nylen, Erik Lee; Wallisch, Pascal | 2017 | Academic Press | |
| 1225 | Neural Data Science. A Primer with MATLAB® and Python™ | Erik Lee Nylen and Pascal Wallisch (Auth.) | 2017 | Academic Press | |
| 1226 | Data Science : Innovative Developments in Data Analysis and Clustering | Francesco Palumbo, Angela Montanari, Maurizio Vichi (eds.) | 2017 | Springer International Publishing | |
| 1227 | Spatial Big Data Science: Classification Techniques for Earth Observation Imagery | Zhe Jiang, Shashi Shekhar (auth.) | 2017 | Springer International Publishing | |
| 1228 | Advances in Computing and Data Sciences: First International Conference, ICACDS 2016, Ghaziabad, India, November 11-12, 2016, Revised Selected Papers | Mayank Singh, P.K. Gupta, Vipin Tyagi, Arun Sharma, Tuncer Ören, William Grosky (eds.) | 2017 | Springer Singapore | |
| 1229 | The Essentials of Data Science: Knowledge Discovery Using R | Graham J. Williams | 2017 | Chapman and Hall/CRC;Chapman & Hall, Williams, Graham | |
| 1230 | The Essentials of Data Science: Knowledge Discovery Using R | Graham J. Williams | 2017 | Chapman and Hall/CRC | |
| 1231 | Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark | Russell Jurney | 2017 | O’Reilly Media | |
| 1232 | Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server | Joshua Cook | 2017 | Apress | |
| 1233 | The Data Science Handbook | Field Cady | 2017 | Wiley | |
| 1234 | Data Science and Big Data: An Environment of Computational Intelligence | Witold Pedrycz, Shyi-Ming Chen (eds.) | 2017 | Springer | |
| 1235 | Data Science: Innovative Developments in Data Analysis and Clustering | Francesco Palumbo, Angela Montanari, Maurizio Vichi (eds.) | 2017 | Springer | |
| 1236 | Docker for Data Science : Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server | Cook, Joshua | 2017 | Apress | |
| 1237 | Creativity in Intelligent Technologies and Data Science : Second Conference, CITetDS 2017, Volgograd, Russia, September 12-14, 2017, Proceedings | Groumpos, Peter; Kravets, Alla; Kultsova, Marina; Shcherbakov, Maxim | 2017 | | |
| 1238 | Practical Data Science Cookbook: Data pre-processing, analysis and visualization using R and Python | Prabhanjan Tattar, Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta | 2017 | Packt Publishing | |
| 1239 | Practical Data Science Cookbook: Data pre-processing, analysis and visualization using R and Python. Code | Prabhanjan Tattar, Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta | 2017 | Packt Publishing | |
| 1240 | Practical Data Science Cookbook: Data pre-processing, analysis and visualization using R and Python | Prabhanjan Tattar, Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta | 2017 | Packt Publishing | |
| 1241 | Game Theory for Data Science. Eliciting Truthful Information | Boi Faltings, Goran Radanovic | 2017 | Morgan & Claypool | |
| 1242 | R for Data Science: Import, Tidy, Transform, Visualize, and Model Data | Hadley Wickham, Garrett Grolemund | 2017 | O’Reilly Media | |
| 1243 | Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics | Fionn Murtagh | 2017 | Chapman and Hall/CRC | |
| 1244 | Data Analytics: Practical Guide to Leveraging the Power of Algorithms, Data Science, Data Mining, Statistics, Big Data, and Predictive Analysis to Improve Business, Work, and Life | Arthur Zhang | 2017 | | |
| 1245 | Data Science: Mindset, Methodologies, and Misconceptions | Zacharias Voulgaris | 2017 | Technics Publications | |
| 1246 | Data Science Algorithms in a Week | Dávid Natingga | 2017 | Packt | |
| 1247 | Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark | Jurney, Russell | 2017 | O’Reilly Media | |
| 1248 | Data Science with Java: Practical Methods for Scientists and Engineers | Michael R. Brzustowicz PhD | 2017 | O’Reilly Media | |
| 1249 | Data Science and Social Research: Epistemology, Methods, Technology and Applications | N. Carlo Lauro, Enrica Amaturo, Maria Gabriella Grassia, Biagio Aragona, Marina Marino (eds.) | 2017 | Springer International Publishing | |
| 1250 | Data Science – Analytics and Applications: Proceedings of the 1st International Data Science Conference – iDSC2017 | Peter Haber, Thomas Lampoltshammer, Manfred Mayr (eds.) | 2017 | Springer Vieweg | |
| 1251 | R for Data Science: Import, Tidy, Transform, Visualize, and Model Data | Hadley Wickham, Garrett Grolemund | 2017 | O’Reilly Media | |
| 1252 | Apache Spark 2.x Cookbook: Cloud-ready recipes for analytics and data science | Rishi Yadav | 2017 | Packt Publishing | |
| 1253 | Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark | Frank Kane | 2017 | Packt Publishing - ebooks Account | |
| 1254 | New Advances in Statistics and Data Science | Ding-Geng Chen,Zhezhen Jin,Gang Li,Yi Li,Aiyi Liu,Yichuan Zhao (eds.) | 2017 | Springer International Publishing | |
| 1255 | Data Science: Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22–24, 2017, Proceedings, Part I | Beiji Zou,Min Li,Hongzhi Wang,Xianhua Song,Wei Xie,Zeguang Lu (eds.) | 2017 | Springer Singapore | |
| 1256 | Data Science: Third International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2017, Changsha, China, September 22–24, 2017, Proceedings, Part II | Beiji Zou,Qilong Han,Guanglu Sun,Weipeng Jing,Xiaoning Peng,Zeguang Lu (eds.) | 2017 | Springer Singapore | |
| 1257 | Soft Computing in Data Science: Third International Conference, SCDS 2017, Yogyakarta, Indonesia, November 27–28, 2017, Proceedings | Azlinah Mohamed,Michael W. Berry,Bee Wah Yap (eds.) | 2017 | Springer Singapore | |
| 1258 | The Data Science Design Manual | Steven S. Skiena | 2017 | Springer | |
| 1259 | An Introduction to Data Science | Jeffrey S. Saltz, Jeffrey M. Stanton | 2017 | SAGE Publications, Inc | |
| 1260 | Introduction to Data Science | Laura Igual & Santi Segui | 2017 | Springer | |
| 1261 | Data Science Foundations: Geometry and Topology of Complex Hierarchic Systems and Big Data Analytics | Fionn Murtagh | 2017 | Chapman and Hall/CRC | |
| 1262 | Recent applications of harmonic analysis to function spaces, differential equations, and data science. V.2 | Pesenson I. | 2017 | Birkhauser | |
| 1263 | Data Science Algorithms in a Week: Top 7 algorithms for computing, data analysis, and machine learning | David Natingga | 2017 | Packt Publishing | |
| 1264 | Hands-on DevOps: Explore the concept of continuous delivery and integrate it with data science concepts | Sricharan Vadapalli | 2017 | Packt Publishing | |
| 1265 | Data Science and Analytics with Python | Jesus Rogel-Salazar | 2017 | Chapman and Hall/CRC | |
| 1266 | Data Science and Analytics with Python | Jesus Rogel-Salazar | 2017 | Chapman and Hall/CRC | |
| 1267 | Data Science: Mindset, Methodologies, and Misconceptions | Zacharias Voulgaris | 2017 | Technics Publications | |
| 1268 | Business Intelligence, Analytics, and Data Science: A Managerial Perspective | Ramesh Sharda, Dursun Delen, Efraim Turban | 2017 | Pearson | |
| 1269 | Data Science with Java: Practical Methods for Scientists and Engineers | Michael R. Brzustowicz | 2017 | O’Reilly Media | |
| 1270 | Jupyter for Data Science | Dan Toomey | 2017 | Packt Publishing | |
| 1271 | Java Data Science Cookbook. Explore the power of MLlib, DL4j, Weka and more | Rushdi Shams | 2017 | Packt | |
| 1272 | Mastering Spark for Data Science | Matthew Hallett & David George & Antoine Amend & Andrew Morgan [Matthew Hallett] | 2017 | Packt Publishing | |
| 1273 | Practical Data Science Cookbook - Second Edition | Abhijit Dasgupta & Benjamin Bengfort & Sean Patrick Murphy & Tony Ojeda & Prabhanjan Tattar [Abhijit Dasgupta] | 2017 | Packt Publishing | |
| 1274 | Data Science: Mindset, Methodologies, and Misconceptions | Zacharias Voulgaris PhD [Zacharias Voulgaris PhD] | 2017 | Technics Publications | |
| 1275 | Hands-On Data Science and Python Machine Learning | Frank Kane [Frank Kane] | 2017 | Packt Publishing | |
| 1276 | Docker for Data Science: Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server | Joshua Cook [Joshua Cook] | 2017 | Apress | |
| 1277 | Think Like a Data Scientist: Tackle the data science process step-by-step | Brian Godsey [Brian Godsey] | 2017 | Manning Publications | |
| 1278 | Mastering Java for Data Science | Alexey Grigorev [Alexey Grigorev] | 2017 | Packt Publishing | |
| 1279 | Java: Data Science Made Easy | Alexey Grigorev & Jennifer L. Reese & Richard M. Reese [Alexey Grigorev] | 2017 | Packt Publishing | |
| 1280 | Jupyter for Data Science | Dan Toomey [Dan Toomey] | 2017 | Packt Publishing | |
| 1281 | Data Science with Java | Michael R. Brzustowicz [Michael R. Brzustowicz] | 2017 | O’Reilly Media, Inc. | |
| 1282 | Java Data Science Cookbook | Rushdi Shams [Shams, Rushdi] | 2017 | Packt Publishing Ltd | |
| 1283 | Agile Data Science 2.0 | Russell Jurney [Russell Jurney] | 2017 | O’Reilly Media, Inc. | |
| 1284 | Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist | Thomas Mailund [Thomas Mailund] | 2017 | Apress | |
| 1285 | Statistics for Data Science | James D. Miller [James D. Miller] | 2017 | Packt Publishing | |
| 1286 | Data Science for Dummies, 2nd Edition | Lillian Pierson | 2017 | Wiley | |
| 1287 | Data Science for Dummies, 2nd Edition | Lillian Pierson | 2017 | Wiley | |
| 1288 | Data Science with Java: Practical Methods for Scientists and Engineers | Michael R. Brzustowicz | 2017 | O’Reilly Media | |
| 1289 | Spatial Big Data Science Classification Techniques for Earth Observation Imagery | Jiang, Zhe; Shekhar, Shashi | 2017 | Springer | |
| 1290 | The data science design manual | Skiena, Steven S | 2017 | Imprint, Springer, Springer International Publishing | |
| 1291 | Business Intelligence, Analytics, and Data Science: A Managerial Perspective | Ramesh Sharda; Dursun Delen; Efraim Turban | 2017 | Pearson | |
| 1292 | Hands-on data science and Python machine learning : perform data mining and machine learning efficiently using Python and Spark | Frank Kane | 2017 | Packt Publishing | |
| 1293 | 2017 European data science salary survey | Brian Suda&King, John; Magoulas, Roger | 2017 | O'Reilly Media, Inc. | |
| 1294 | Data Science For Dummies | Lillian Pierson | 2017 | John Wiley & Sons | |
| 1295 | The Data Science Design Manual | Steven S. Skiena | 2017 | Springer | |
| 1296 | Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications | Laura Igual; Santi Seguí | 2017 | Springer | |
| 1297 | Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications | Laura Igual; Santi Seguí | 2017 | Springer | |
| 1298 | The Data Science Design Manual | Steven S. Skiena | 2017 | Springer | |
| 1299 | Java Data Science Cookbook | Rushdi Shams | 2017 | Packt Publishing Ltd | |
| 1300 | Applying Data Science: Business Case Studies Using SAS | Gerhard Svolba | 2017 | SAS Institute | |
| 1301 | Data Science and Big Data: An Environment of Computational Intelligence | Witold Pedrycz; Shyi-Ming Chen | 2017 | Springer | |
| 1302 | Scala guide for data science professionals | Bugnion, Pascal;Manivannan, Arun;Nicolas, Patrick R | 2017 | Packt Publishing | |
| 1303 | Data science with Java: practical methods for scientists and engineers | Brzustowicz, Michael R | 2017 | O'Reilly Media | |
| 1304 | Introduction to data science: a Python approach to concepts, techniques and applications | Igual, Laura;Seguí, Santi;Vitrià, Jordi | 2017 | Springer | |
| 1305 | The Data Science Handbook | Field Cady | 2017 | Wiley | |
| 1306 | Statistics for data science: leverage the power of statistics for data analysis, classification, regression, machine learning, and neural networks | Miller, James D | 2017 | Packt | |
| 1307 | Data science algorithms in a week: data analysis, machine learning, and more | Natingga, Dávid | 2017 | Packt Publishing Ltd | |
| 1308 | Java: Data Science Made Easy (1) | Reese, Richard M | 2017 | Packt Publishing | |
| 1309 | Beginning Data Science in R Data Analysis, Visualization, and Modelling for the Data Scientist | Mailund, Thomas | 2017 | Apress | |
| 1310 | Python data science handbook: essential tools for working with data | VanderPlas, Jacob T | 2017 | O'Reilly Media | |
| 1311 | Beginning Data Science in R: Data Analysis, Visualization, and Modelling for the Data Scientist | Mailund, Thomas | 2017 | Apress | |
| 1312 | Docker for Data Science Building Scalable and Extensible Data Infrastructure Around the Jupyter Notebook Server | Cook, Joshua | 2017 | Apress | |
| 1313 | Java for data science: examine the techniques and Java tools supporting the growing field of data science | Reese, Richard M;Reese, Jennifer L | 2017 | Packt Publishing | |
| 1314 | Java for data science: examine the techniques and Java tools supporting the growing field of data science | Reese, Richard M;Reese, Jennifer L | 2017 | Packt Publishing | |
| 1315 | Java for data science: examine the techniques and Java tools supporting the growing field of data science | Reese, Jennifer L.; Reese, Richard M | 2017 | Packt Publishing | |
| 1316 | Modern Data Science with R | Benjamin S. Baumer, Daniel T. Kaplan, Nicholas J. Horton | 2017 | CRC | |
| 1317 | The Art of Data Science | it-ebooks | 2017 | iBooker it-ebooks | |
| 1318 | Python Data Science Handbook (Jupyter Notebook Version) | it-ebooks | 2017 | iBooker it-ebooks | |
| 1319 | Numsense! Data Science for the Layman (No Math Added) | Annalyn Ng and Kenneth Soo | 2017 | | |
| 1320 | Federal Data Science: Transforming Government and Agricultural Policy Using Artificial Intelligence | Feras A. Batarseh, Ruixin Yang | 2017 | Academic Press | |
| 1321 | Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale (Addison-Wesley Data & Analytics) | Ofer Mendelevitch, Casey Stella, Douglas Eadline | 2017 | Addison-Wesley | |
| 1322 | Practical Data Science Cookbook: Data Pre-Processing, Analysis and Visualization Using R and Python | Prabhanjan Narayanachar Tattar; Tony Ojeda; Sean Patrick Murphy; Benjamin Bengfort; Abhijit Dasgupta | 2017 | Packt Publishing | |
| 1323 | Neural Data Science: A Primer with Matlab and Python | Pascal Wallisch; Erik Lee Nylen | 2017 | Academic Press | |
| 1324 | Python for R Users: A Data Science Approach | Ajay Ohri | 2017 | Wiley | |
| 1325 | Introduction to Data Science for Social and Policy Research: Collecting and Organizing Data with R and Python | Jose Manuel Magallanes Reyes | 2017 | Cambridge University Press | |
| 1326 | Python for R Users: A Data Science Approach | Ajay Ohri | 2017 | Wiley | |
| 1327 | R for Data Science | Hadley Wickham & Garrett Grolemund | 2017 | O’Reilly Media, Inc., | |
| 1328 | Think Like a Data Scientist: Tackle the data science process step-by-step | Brian Godsey | 2017 | Manning | |
| 1329 | Strategies in Biomedical Data Science : Driving Force for Innovation | Ken Buetow; Jay A. Etchings | 2017 | John Wiley & Sons, Incorporated | |
| 1330 | Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions | and Medicine Engineering National Academies of Sciences; Division on Engineering and Physical Sciences; Board on Mathematical Sciences and Their Applications; Committee on Applied and Theoretical Statistics; Committee on Strengthening Data Science Methods for Department of Defense Personnel and Readiness Missions | 2017 | National Academies Press | |
| 1331 | Game Theory for Data Science: Eliciting Truthful Information | Boi Faltings, Goran Radanovic | 2017 | Springer | |
| 1332 | Python Data Science Essentials | Boschetti, Alberto;Massaron, Luca | 2016;2017 | Packt Publishing | |
| 1333 | Big data MBA: driving business strategies with data science | Schmarzo, Bill | 2016;2015 | Wiley | |
| 1334 | Parallel computing for data science : with examples in R, C++ and CUDA | Matloff, Norman S. | 2016 | CRC Press | |
| 1335 | Mathematical Problems in Data Science: Theoretical and Practical Methods | Li M. Chen, Zhixun Su, Bo Jiang | 2016 | Springer | |
| 1336 | Scala for Data Science | Pascal Bugnion | 2016 | Packt Publishing | |
| 1337 | Introduction to HPC with MPI for Data Science | Frank Nielsen (auth.) | 2016 | Springer International Publishing | |
| 1338 | Data Science: Questions and Answers | George A Duckett | 2016 | CreateSpace Independent Publishing Platform | |
| 1339 | Data Science: Questions and Answers | George A Duckett | 2016 | CreateSpace Independent Publishing Platform | |
| 1340 | Data Science: Questions and Answers | George A Duckett | 2016 | CreateSpace Independent Publishing Platform | |
| 1341 | Data Science: Questions and Answers | George A Duckett | 2016 | CreateSpace Independent Publishing Platform | |
| 1342 | Deep Learning Made Easy with R: A Gentle Introduction For Data Science | N.D Lewis | 2016 | CreateSpace Independent Publishing Platform | |
| 1343 | Introducing Data Science: Big Data, Machine Learning, and more, using Python tools | Davy Cielen, Arno Meysman, Mohamed Ali | 2016 | Manning Publications | |
| 1344 | Introducing Data Science: Big Data, Machine Learning, and more, using Python tools | Davy Cielen, Arno Meysman, Mohamed Ali | 2016 | Manning Publications | |
| 1345 | Natural Language Processing in Python: Master Data Science and Machine Learning for spam detection, sentiment analysis, latent semantic analysis, and article spinning (Machine Learning in Python) | Unknown | 2016 | LazyProgrammer | |
| 1346 | Convolutional Neural Networks in Python: Master Data Science and Machine Learning with Modern Deep Learning in Python, Theano, and TensorFlow (Machine Learning in Python) | Unknown | 2016 | LazyProgrammer | |
| 1347 | Unsupervised Machine Learning in Python: Master Data Science and Machine Learning with Cluster Analysis, Gaussian Mixture Models, and Principal Components Analysis | Unknown | 2016 | LazyProgrammer | |
| 1348 | Trends in Applied Knowledge-Based Systems and Data Science: 29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, Morioka, Japan, August 2-4, 2016, Proceedings | Hamido Fujita, Moonis Ali, Ali Selamat, Jun Sasaki, Masaki Kurematsu (eds.) | 2016 | Springer International Publishing | |
| 1349 | Process Mining: Data Science in Action | Wil van der Aalst (auth.) | 2016 | Springer-Verlag Berlin Heidelberg | |
| 1350 | Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python, Theano, and TensorFlow | LazyProgrammer | 2016 | LazyProgrammer | |
| 1351 | Computer Age Statistical Inference: Algorithms, Evidence, and Data Science | Bradley Efron, Trevor Hastie | 2016 | Cambridge University Press | |
| 1352 | Data Science Essentials in Python: Collect - Organize - Explore - Predict - Value | Dmitry Zinoviev | 2016 | Pragmatic Bookshelf | |
| 1353 | Spark for Data Science | Srinivas Duvvuri, Bikramaditya Singhal | 2016 | Packt Publishing | |
| 1354 | Perspectives on Data Science for Software Engineering | Tim Menzies, Laurie Williams, Thomas Zimmermann | 2016 | Morgan Kaufmann | |
| 1355 | Intelligent Techniques for Data Science | Rajendra Akerkar, Priti Srinivas Sajja (auth.) | 2016 | Springer International Publishing | |
| 1356 | Data Science and Big Data Computing: Frameworks and Methodologies | Zaigham Mahmood (eds.) | 2016 | Springer International Publishing | |
| 1357 | Optimization and Its Applications in Control and Data Sciences: In Honor of Boris T. Polyak’s 80th Birthday | Boris Goldengorin (eds.) | 2016 | Springer International Publishing | |
| 1358 | Availability, Reliability, and Security in Information Systems: IFIP WG 8.4, 8.9, TC 5 International Cross-Domain Conference, CD-ARES 2016, and Workshop on Privacy Aware Machine Learning for Health Data Science, PAML 2016, Salzburg, Austria, August 31 - September 2, 2016, Proceedings | Francesco Buccafurri, Andreas Holzinger, Peter Kieseberg, A Min Tjoa, Edgar Weippl (eds.) | 2016 | Springer International Publishing | |
| 1359 | Soft Computing in Data Science: Second International Conference, SCDS 2016, Kuala Lumpur, Malaysia, September 21-22, 2016, Proceedings | Michael W. Berry, Azlinah Hj. Mohamed, Bee Wah Yap (eds.) | 2016 | Springer Singapore | |
| 1360 | Financial Analytics with R. Building a Laptop Laboratory for Data Science | Mark J. Bennett, Dirk L. Hugen | 2016 | Cambridge | |
| 1361 | Unsupervised Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python and Theano | LazyProgrammer | 2016 | LazyProgrammer | |
| 1362 | Unsupervised Deep Learning in Python: Master Data Science and Machine Learning with Modern Neural Networks written in Python and Theano | LazyProgrammer | 2016 | LazyProgrammer | |
| 1363 | Julia for Data Science | Anshul Joshi | 2016 | Packt Publishing | |
| 1364 | Julia for Data Science | Anshul Joshi | 2016 | Packt Publishing | |
| 1365 | Python Data Science Handbook: Essential Tools for Working with Data | Jake VanderPlas | 2016 | O’Reilly Media | |
| 1366 | Cyber-Risk Informatics: Engineering Evaluation with Data Science | Mehmet Sahinoglu | 2016 | Wiley | |
| 1367 | Introducing Data Science: Big Data, Machine Learning and More, Using Python tools | Davy Cielen, Arno Meysman, Mohamed Ali | 2016 | Manning Publications | |
| 1368 | Data Science: Create Teams That Ask the Right Questions and Deliver Real Value | Doug Rose (auth.) | 2016 | Apress | |
| 1369 | Advanced Statistical Methods in Data Science | Ding-Geng Chen, Jiahua Chen, Xuewen Lu, Grace Y. Yi, Hao Yu (eds.) | 2016 | Springer Singapore | |
| 1370 | Data Science with Microsoft SQL Server 2016 | Buck Woody, Danielle Dean, Debraj GuhaThakurta, Gagan Bansal, Matt Conners and Wee-Hyong Tok | 2016 | Microsoft Press | |
| 1371 | Data Science Using Oracle Data Miner and Oracle R Enterprise: Transform Your Business Systems into an Analytical Powerhouse | Sibanjan Das (auth.) | 2016 | Apress | |
| 1372 | Algorithms for Data Science | Brian Steele, John Chandler, Swarna Reddy (auth.) | 2016 | Springer International Publishing | |
| 1373 | Python Data Science Handbook. Essential Tools for Working with Data | Jake VanderPlas | 2016 | O'Reilly Media | |
| 1374 | R Data Science Essentials | Raja B. Koushik, Sharan Kumar Ravindran | 2016 | Packt | |
| 1375 | Simulation for Data Science with R | Matthias Templ | 2016 | Packt | |
| 1376 | R for Data Science Cookbook | Yu-Wei, Chiu (David Chiu) | 2016 | Packt | |
| 1377 | Report writing for data science in R | Roger D. Peng | 2016 | Leanpub | |
| 1378 | Report writing for data science in R | Roger D. Peng | 2016 | Leanpub | |
| 1379 | Data science and complex networks : real cases studies with Python | Caldarelli, Guido; Chessa, Alessandro | 2016 | Oxford University Press | |
| 1380 | Data Science Essentials in Python Collect – Organize – Explore – Predict – Value | Dmitry Zinoviev | 2016 | Pragmatic Bookshelf | |
| 1381 | Python Data Science Handbook: Essential Tools for Working with Data | Jake VanderPlas | 2016 | O’Reilly Media | |
| 1382 | Python Data Science Handbook: Essential Tools for Working with Data | Jake VanderPlas | 2016 | O'Reilly Media | |
| 1383 | Data Science and Big Data Computing: Frameworks and Methodologies | Zaigham Mahmood (eds.) | 2016 | Springer International Publishing : Imprint : Springer | |
| 1384 | Optimization and applications in control and data sciences : in honor of Boris T. Polyak's 80th birthday | Boris Goldengorin (eds.) | 2016 | Springer | |
| 1385 | Computer Age Statistical Inference: Algorithms, Evidence, and Data Science | Bradley Efron, Trevor Hastie | 2016 | Cambridge University Press | |
| 1386 | Python Data Science Handbook | Jake VanderPlas | 2016 | O’Reilly | |
| 1387 | Python Data Science Handbook: Essential Tools for Working with Data | Jake VanderPlas | 2016 | O’Reilly Media | |
| 1388 | Spark for Data Science | Srinivas Duvvuri, Bikramaditya Singhal | 2016 | Packt Publishing | |
| 1389 | Data Analytics and Linux Operating System. Beginners Guide to Learn Data Analytics, Predictive Analytics and Data Science with Linux Operating System | Isaac D. Cody | 2016 | CreateSpace Independent Publishing Platform | |
| 1390 | Intelligent Techniques for Data Science | Rajendra Akerkar, Priti Srinivas Sajja | 2016 | Springer | |
| 1391 | Python Data Science Essentials - Second Edition | Alberto Boschetti, Luca Massaron | 2016 | Packt Publishing - ebooks Account | |
| 1392 | Python Data Science Essentials [source code] | Alberto Boschetti, Luca Massaron | 2016 | Packt | |
| 1393 | Python Data Science Handbook: Essential Tools for Working with Data | Jake VanderPlas | 2016 | O’Reilly Media | |
| 1394 | Data Science with Python | coll. | 2016 | Packt Publishing | |
| 1395 | Data Science with Python | coll. | 2016 | Packt Publishing | |
| 1396 | Julia for Data Science | Zacharias Voulgaris PhD [Zacharias Voulgaris PhD] | 2016 | Technics Publications | |
| 1397 | Spark for Data Science | Bikramaditya Singhal & Srinivas Duvvuri [Bikramaditya Singhal] | 2016 | Packt Publishing | |
| 1398 | Principles of Data Science | Sinan Ozdemir [Ozdemir, Sinan] | 2016 | Packt Publishing Ltd | |
| 1399 | Python: Real-World Data Science | Sebastian Raschka & Robert Layton & Martin Czygan & Phuong Vo.T.H & Fabrizio Romano & Dusty Phillips [Sebastian Raschka] | 2016 | Packt Publishing | |
| 1400 | Scala for Data Science | Pascal Bugnion [Pascal Bugnion] | 2016 | Packt Publishing | |
| 1401 | Data Science Essentials in Python | Dmitry Zinoviev [Dmitry Zinoviev] | 2016 | Pragmatic Bookshelf | |
| 1402 | R for Data Science Cookbook | Yu-Wei Chiu - David Chiu [Yu-Wei Chiu - David Chiu] | 2016 | Packt Publishing | |
| 1403 | Perspectives on Data Science for Software Engineering | Thomas Zimmermann & Laurie Williams & Tim Menzies [Thomas Zimmermann] | 2016 | Morgan Kaufmann | |
| 1404 | Simulation for Data Science with R | Matthias Templ [Matthias Templ] | 2016 | Packt Publishing | |
| 1405 | Julia for Data Science | Anshul Joshi [Anshul Joshi] | 2016 | Packt Publishing | |
| 1406 | R Data Science Essentials | Sharan Kumar Ravindran & Raja B. Koushik [Sharan Kumar Ravindran] | 2016 | Packt Publishing | |
| 1407 | Principles of Data Science: Learn the techniques and math you need to start making sense of your data | Sinan Ozdemir | 2016 | Packt Publishing | |
| 1408 | Deep Learning made easy with R. A gentle Introduction for Data Science | N.D. Lewis | 2016 | CreateSpace | |
| 1409 | Learning from Data made easy with R. A gentle Introduction for Data Science | N.D. Lewis | 2016 | CreateSpace | |
| 1410 | Python: Real-World Data Science: A course in four modules | Dusty Phillips, Fabrizio Romano, Phuong Vo.T.H, Martin Czygan, Robert Layton | 2016 | Packt Publishing | |
| 1411 | Algorithms for data science | Chandler, John; Reddy, Swarna; Steele, Brian | 2016 | Springer | |
| 1412 | Python Data Science Handbook: Essential Tools for Working With Data | Jake Vanderplas [Vanderplas, Jake] | 2016 | O’Reilly Media | |
| 1413 | Introducing Data Science : Big data, machine learning, and more, using Python tools | Arno D. B. Meysman Davy Cielen & Mohamed Ali | 2016 | Manning Publications | |
| 1414 | Python Data Science Essentials - Second Edition | Luca Massaron, Alberto Boschetti | 2016 | Packt Publishing | |
| 1415 | 2016 Data Science Salary Survey | Roger Magoulas & John King | 2016 | O'Reilly Media, Inc. | |
| 1416 | R Programming for Data Science | Roger Peng | 2016 | lulu.com | |
| 1417 | Scala for data science leverage the power of Scala to build scalable, robust data science applications | Bugnion, Pascal | 2016 | Packt Publishing | |
| 1418 | R for data science cookbook over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques | Chiu, David | 2016 | Packt Publishing | |
| 1419 | Data Science with Python | Dusty Phillips;Fabrizio Romano;Phuong Vo. T.H;Martin Czygan;Robert Layton;Sebastian Ra | 2016 | Packt Publishing | |
| 1420 | Python Data Science Essentials | Boschetti, Alberto;Massaron, Luca | 2016 | Packt Publishing | |
| 1421 | Python Data Science Essentials | Boschetti, Alberto;Massaron, Luca | 2016 | Packt Publishing | |
| 1422 | Python Data Science Essentials | Boschetti, Alberto;Massaron, Luca | 2016 | Packt Publishing | |
| 1423 | Principles of Data Science | Ozdemir, Sinan | 2016 | Packt Publishing | |
| 1424 | Cyber-risk informatics: engineering evaluation with data science | Sahinoglu, Mehmet | 2016 | John Wiley & Sons, Incorporated | |
| 1425 | Data Analytics: What Every Business Must Know About Big Data And Data Science | Smith, James, V | 2016 | Pinnacle Publishers, LLC | |
| 1426 | Python Data Science Essentials - Second Edition | Massaron, Luca;Boschetti, Alberto | 2016 | Packt Publishing | |
| 1427 | R for Data Science: Import, Tidy, Transform, Visualize, and Model Data | Hadley Wickham; Garrett Grolemund | 2016 | "O'Reilly Media, Inc." | |
| 1428 | Data Science iPython Notebook 20160913 | it-ebooks | 2016 | iBooker it-ebooks | |
| 1429 | Python: Real-World Data Science | Sebastian Raschka; Robert Layton; Martin Czygan; Phuong Vo.T.H; Fabrizio Romano; Dusty Phillips | 2016 | Packt Publishing | |
| 1430 | Python: Real-World Data Science | Dusty Phillips, Fabrizio Romano, Phuong Vo.T.H, Martin Czygan, Robert Layton, Sebastian Raschka | 2016 | Packt Publishing Limited | |
| 1431 | Python Data Science Handbook: Tools and Techniques for Developers | Jake Vanderplas | 2016 | O'Reilly Media | |
| 1432 | Data Science in the Cloud with Microsoft Azure Machine Learning and Python | Stephen F. Elston | 2016 | O'Reilly | |
| 1433 | Introducing Data Science: Big Data, Machine Learning, and More, using Python Tools | Davy Cielen; Arno D.B. Meysman; Mohamed Ali | 2016 | Manning Publications | |
| 1434 | Data Science for Modern Manufacturing | Li Ping Chu | 2016 | O'Reilly | |
| 1435 | Going Pro in Data Science: What It Takes to Succeed as a Professional Data Scientist | Jerry Overton | 2016 | O’Reilly Media, Inc. | |
| 1436 | Financial Analytics with R: Building a Laptop Laboratory for Data Science (Instructor's Resources - Lecture, Solution Manual) (Solutions) | Mark J. Bennett, Dirk L. Hugen | 2016 | Cambridge University Press | |
| 1437 | Data Science Essentials in Python: Collect - Organize - Explore - Predict - Value | Dmitry Zinoviev | 2016 | | |
| 1438 | Python Data Science Essentials | Luca Massaron; Alberto Boschetti | 2016 | Packt Publishing | |
| 1439 | Data science at the command line facing the future with time-tested tools | Janssens, Jeroen | 2015;2014 | O'Reilly Media, Inc. | |
| 1440 | Data science at the command line facing the future with time-tested tools | Janssens, Jeroen | 2015;2014 | O'Reilly Media, Inc. | |
| 1441 | Data science for dummies | Lillian Pierson; Jake Porway (foreword) | 2015 | John Wiley and Sons | |
| 1442 | Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving | Deborah Nolan, Duncan Temple Lang | 2015 | Chapman and Hall/CRC | |
| 1443 | R Programming for Data Science | Roger D. Peng | 2015 | [Leanpub] | |
| 1444 | Statistical Learning and Data Sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings | Alexander Gammerman, Vladimir Vovk, Harris Papadopoulos (eds.) | 2015 | Springer International Publishing | |
| 1445 | Data Science from Scratch: First Principles with Python | Joel Grus | 2015 | O'Reilly Media | |
| 1446 | Data Science from Scratch: First Principles with Python | Grus, Joel [Grus, Joel] | 2015 | O'Reilly Media | |
| 1447 | Data Science, Learning by Latent Structures, and Knowledge Discovery | Berthold Lausen, Sabine Krolak-Schwerdt, Matthias Böhmer (eds.) | 2015 | Springer-Verlag Berlin Heidelberg | |
| 1448 | Data Science in the Cloud: with Microsoft Azure Machine Learning and R | Stephen F. Elston | 2015 | O'Reilly Media | |
| 1449 | Data Science from Scratch: First Principles with Python | Joel Grus | 2015 | O'Reilly Media | |
| 1450 | Data Science: 30th British International Conference on Databases, BICOD 2015, Edinburgh, UK, July 6-8, 2015, Proceedings | Sebastian Maneth (eds.) | 2015 | Springer International Publishing | |
| 1451 | Python Data Science Essentials - Learn the fundamentals of Data Science with Python | Alberto Boschetti, Luca Massaron | 2015 | Packt Publishing | |
| 1452 | Python Data Science Essentials - Learn the fundamentals of Data Science with Python | Alberto Boschetti, Luca Massaron | 2015 | Packt Publishing | |
| 1453 | Python Data Science Essentials - Learn the fundamentals of Data Science with Python | Alberto Boschetti, Luca Massaron | 2015 | Packt Publishing | |
| 1454 | Clean Data - Data Science Strategies for Tackling Dirty Data | Megan Squire | 2015 | Packt Publishing | |
| 1455 | Clean Data - Data Science Strategies for Tackling Dirty Data | Megan Squire | 2015 | Packt Publishing | |
| 1456 | Clean Data - Data Science Strategies for Tackling Dirty Data | Megan Squire | 2015 | Packt Publishing | |
| 1457 | 120 real data science interview questions | Carl Shan, Max Song, Henry Wang, And William Chen | 2015 | | |
| 1458 | Creativity in Intelligent, Technologies and Data Science: First Conference, CIT&DS 2015, Volgograd, Russia, September 15–17, 2015, Proceedings | Alla Kravets, Maxim Shcherbakov, Marina Kultsova, Olga Shabalina (eds.) | 2015 | Springer International Publishing | |
| 1459 | Data Science: Second International Conference, ICDS 2015 Sydney, Australia, August 8–9, 2015. Proceedings | Chengqi Zhang, Wei Huang, Yong Shi, Philip S. Yu, Yangyong Zhu, Yingjie Tian, Peng Zhang, Jing He (eds.) | 2015 | Springer International Publishing | |
| 1460 | Learning to Love Data Science | Mike Barlow | 2015 | O'Reilly Media | |
| 1461 | Python Data Science Cookbook | Gopi Subramanian | 2015 | Packt Publishing | |
| 1462 | Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data | EMC Education Services | 2015 | Wiley | |
| 1463 | Fraud analytics using descriptive, predictive, and social network techniques : a guide to data science for fraud detection | Bart Baesens, Veronique Van Vlasselaer, Wouter Verbeke | 2015 | John Wiley & Sons | |
| 1464 | Statistical inference for data science - A companion to the Coursera Statistical Inference Course | Brian Caffo | 2015 | | |
| 1465 | The Art of Data Science: A Guide for Anyone Who Works with Data | Roger D. Peng, Elizabeth Matsui | 2015 | | |
| 1466 | Report Writing for Data Science in R | Roger D. Peng | 2015 | | |
| 1467 | Python for Data Science For Dummies | John Paul Mueller, Luca Massaron | 2015 | Wiley | |
| 1468 | Learning to Love Data Science | Mike Barlow | 2015 | O’Reilly Media | |
| 1469 | Getting Started with Data Science: Making Sense of Data with Analytics | Murtaza Haider | 2015 | IBM Press | |
| 1470 | A collection of Data Science Interview Questions Solved in Python and Spark: Hands-on Big Data and Machine Learning | Antonio Gulli | 2015 | CreateSpace Independent Publishing Platform | |
| 1471 | Clojure for Data Science: Statistics, big data, and machine learning for Clojure programmers | Henry Garner | 2015 | Packt Publishing | |
| 1472 | Data Science For Dummies | Lillian Pierson | 2015 | Wiley | |
| 1473 | Data Science from Scratch: First Principles with Python | Joel Grus | 2015 | O'Reilly Media | |
| 1474 | Mastering Data Analysis with R: Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualization | Gergely Daroczi | 2015 | Packt Publishing | |
| 1475 | Learning Apache Mahout: Acquire practical skills in Big Data Analytics and explore data science with Apache Mahout | Chandramani Tiwary | 2015 | Packt Publishing | |
| 1476 | Learning to Love Data Science: Explorations of Emerging Technologies and Platforms for Predictive Analytics, Machine Learning, Digital Manufacturing and Supply Chain Optimization | Mike Barlow | 2015 | O'Reilly Media | |
| 1477 | Soft Computing in Data Science: First International Conference, SCDS 2015, Putrajaya, Malaysia, September 2-3, 2015, Proceedings | Michael W. Berry, Azlinah Hj. Mohamed, Bee Wah Yap (eds.) | 2015 | Springer Singapore | |
| 1478 | A collection of Advanced Data Science and Machine Learning Interview Questions Solved in Python and Spark (II): Hands-on Big Data and Machine ... Programming Interview Questions) (Volume 7) | Dr Antonio Gulli | 2015 | CreateSpace Independent Publishing Platform | |
| 1479 | Big Data MBA: Driving Business Strategies with Data Science | Bill Schmarzo | 2015 | Wiley | |
| 1480 | Mastering Python for data science : explore the world of data science through Python and learn how to make sense of data | Samir Madhavan | 2015 | Packt Publishing | |
| 1481 | Mastering Python for data science : explore the world of data science through Python and learn how to make sense of data | Samir Madhavan | 2015 | Packt Publishing | |
| 1482 | Data Science from Scratch First Principles with Python | Joel Grus | 2015 | CreateSpace | |
| 1483 | Data Science For Dummies | Lillian Pierson | 2015 | For Dummies | |
| 1484 | The art of data science. A guide for anyone who works with data | Peng R.D., Matsui E | 2015 | Skybrude | |
| 1485 | Mathematical Problems in Data Science: Theoretical and Practical Methods | Li M. Chen, Zhixun Su, Bo Jiang | 2015 | Springer International Publishing | |
| 1486 | Mathematical Problems in Data Science: Theoretical and Practical Methods | Li M. Chen, Zhixun Su, Bo Jiang | 2015 | Springer International Publishing | |
| 1487 | A Simple Introduction to Data Science | Nielsen, Lars | 2015 | New Street Communications | |
| 1488 | Mastering Python for Data Science | Samir Madhavan | 2015 | Packt Publishing | |
| 1489 | Sports Analytics and Data Science: Winning the Game with Methods and Models | Thomas W. Miller | 2015 | Pearson FT Press | |
| 1490 | Data science in R : a case studies approach to computational reasoning and problem solving | Lang, Duncan Temple; Nolan, Deborah | 2015 | CRC Press | |
| 1491 | Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python | Thomas W. Miller | 2015 | Pearson Education | |
| 1492 | Python data science cookbook : over 60 practical recipes to help you explore Python and its robust data science capabilities | Subramanian, Gopi | 2015 | Packt Publishing | |
| 1493 | Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R | Daniel D. Gutierrez [Daniel D. Gutierrez] | 2015 | Technics Publications | |
| 1494 | Learning to Love Data Science | Mike Barlow [Mike Barlow] | 2015 | O’Reilly Media, Inc. | |
| 1495 | Python Data Science Cookbook | Gopi Subramanian [Gopi Subramanian] | 2015 | Packt Publishing | |
| 1496 | Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection | Wouter Verbeke & Veronique Van Vlasselaer & Bart Baesens [Wouter Verbeke] | 2015 | John Wiley & Sons | |
| 1497 | Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python | Thomas W. Miller [Thomas W. Miller] | 2015 | PH Professional Business | |
| 1498 | Sports Analytics and Data Science: Winning the Game with Methods and Models | Thomas W. Miller [Thomas W. Miller] | 2015 | PH Professional Business | |
| 1499 | Clojure for Data Science | Henry Garner [Henry Garner] | 2015 | Packt Publishing | |
| 1500 | Data Science in R | Deborah Nolan & Duncan Temple Lang [Deborah Nolan] | 2015 | CRC Press | |
| 1501 | Getting Started with Data Science: Making Sense of Data with Analytics | Murtaza Haider [Murtaza Haider] | 2015 | IBM Press | |
| 1502 | Mastering Python for Data Science | Samir Madhavan [Samir Madhavan] | 2015 | Packt Publishing | |
| 1503 | Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data | EMC Education Services [EMC Education Services] | 2015 | John Wiley & Sons | |
| 1504 | Python for Data Science For Dummies | Luca Massaron & John Paul Mueller [Luca Massaron] | 2015 | For Dummies | |
| 1505 | Data Science From Scratch: First Principles With Python | Joel Grus [Grus, Joel] | 2015 | O’Reilly Media | |
| 1506 | Python data science essentials : become an efficient data science practitioner | Boschetti, Alberto; Massaron, Luca | 2015 | Packt | |
| 1507 | Python data science cookbook : over 60 practical recipes to help you explore Python and its robust data science capabilities | Gopi Subramanian | 2015 | Packt Publishing | |
| 1508 | A Collection of Data Science Interview Questions Solved in Python and Spark: Hands-On Big Data and Machine Learning | Antonio Gulli | 2015 | Createspace Independent Publishing Platform | |
| 1509 | 2015 Data Science Salary Survey | Roger Magoulas & John King | 2015 | O'Reilly Media, Inc. | |
| 1510 | The Data Science Handbook | Carl Shan, Henry Wang, William Chen; Max Song | 2015 | leanpub.com | |
| 1511 | Clojure for Data Science | Garner, Henry | 2015 | Packt Publishing Limited | |
| 1512 | Fraud analytics using descriptive, predictive, and social network techniques a guide to data science for fraud detection | Baesens, Bart;Verbeke, Wouter;Vlasselaer, Véronique van | 2015 | John Wiley & Sons | |
| 1513 | Mastering data analysis with R: gain clear insights into your data and solve real-world data science problems with R--from data munging to modeling and visualization | Daróczi, Gergely | 2015 | Packt Publishing | |
| 1514 | Mastering data analysis with R: gain clear insights into your data and solve real-world data science problems with R--from data munging to modeling and visualization | Daróczi, Gergely | 2015 | Packt Publishing | |
| 1515 | Data science at the command line facing the future with time-tested tools | Janssens, Jeroen | 2015 | O'Reilly Media | |
| 1516 | Mastering Python for Data Science | Madhavan, Samir | 2015 | Packt Publishing | |
| 1517 | Mastering Python for Data Science | Madhavan, Samir | 2015 | Packt Publishing | |
| 1518 | Mastering Python for Data Science | Madhavan, Samir | 2015 | Packt Publishing | |
| 1519 | Python Data Science Cookbook | Subramanian, Gopi | 2015 | [distributor] Bertrams, [distributor] Ingram Book Company, Packt Publishing Limited | |
| 1520 | Python Data Science Cookbook | Subramanian, Gopi | 2015 | [distributor] Bertrams, [distributor] Ingram Book Company, Packt Publishing Limited | |
| 1521 | Python Data Science Cookbook | Subramanian, Gopi | 2015 | [distributor] Bertrams, [distributor] Ingram Book Company, Packt Publishing Limited | |
| 1522 | Python for Data Science For Dummies | Massaron, Luca;John Paul Mueller | 2015 | John Wiley and Sons | |
| 1523 | Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python | Miller, Thomas, W | 2015 | Pearson Education | |
| 1524 | Data Science from Scratch: First Principles with Python | Grus, Joel | 2015 | O'Reilly Media | |
| 1525 | Data Science with R | Grolemund, Garrett | 2015 | O'Reilly Media | |
| 1526 | Learning to Love Data Science: Explorations of Emerging Technologies and Platforms for Predictive Analytics, Machine Learning, Digital Manufacturing and Supply Chain Optimization | Mike Barlow | 2015 | "O'Reilly Media, Inc." | |
| 1527 | Python for Data Science for Dummies | Zanab Hussain | 2015 | For Dummies | |
| 1528 | Python Data Science Cookbook | Gopi Subramanian | 2015 | Packt Publishing | |
| 1529 | Agile Data Science 2.0 | Jurney, Russell | 2014;2013 | O'Reilly Media | |
| 1530 | Data smart: using data science to transform information into insight | Foreman, John W | 2014;2013 | Wiley | |
| 1531 | XML and Web Technologies for Data Sciences with R | Deborah Nolan, Duncan Temple Lang (auth.) | 2014 | Springer-Verlag New York | |
| 1532 | Practical Data Science with R | Nina Zumel, John Mount | 2014 | Manning Publications | |
| 1533 | Practical Data Science with R | Nina Zumel, John Mount | 2014 | Manning Publications | |
| 1534 | Practical Data Science with R | Nina Zumel, John Mount | 2014 | Manning Publications | |
| 1535 | Data Science at the Command Line | Data Science at the Command Line: Facing the Future with Time-Tested Tools | 2014 | O’Reilly | |
| 1536 | Data Science at the Command Line: Facing the Future with Time-Tested Tools | Jeroen Janssens | 2014 | O’Reilly Media | |
| 1537 | Practical Data Science Cookbook | Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta | 2014 | Packt Publishing - ebooks Account | |
| 1538 | Beginning Data Science with R | Manas A. Pathak (auth.) | 2014 | Springer International Publishing | |
| 1539 | Foundations of Data Science | John Hopcroft, Ravindran Kannan | 2014 | | |
| 1540 | Beginning Data Science with R | Manas A. Pathak | 2014 | Springer | |
| 1541 | Analytics in a Big Data World: The Essential Guide to Data Science and its Applications | Bart Baesens | 2014 | Wiley | |
| 1542 | Data Science at the Command Line: Facing the Future with Time-Tested Tools | Jeroen Janssens | 2014 | O’Reilly Media | |
| 1543 | IPython Interactive Computing and Visualization Cookbook: Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science with Python | Cyrille Rossant | 2014 | Packt Publishing | |
| 1544 | Practical Data Science with R | Nina Zumel, John Mount | 2014 | Manning | |
| 1545 | Practical Data Science Cookbook: 89 hands-on recipes to help you complete real-world data science projects in R and Python | Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta | 2014 | Packt Publishing | |
| 1546 | scikit-learn Cookbook: Over 50 recipes to incorporate scikit-learn into every step of the data science pipeline, from feature extraction to model building and model evaluation | Trent Hauck | 2014 | Packt Publishing | |
| 1547 | R for Data Science: Learn and explore the fundamentals of data science with R | Dan Toomey | 2014 | Packt Publishing | |
| 1548 | Analytics in a Big Data World. The Essential Guide to Data Science and its Applications | Bart Baesens | 2014 | Wiley | |
| 1549 | Practical Data Science with R | Nina Zumel & John Mount [Nina Zumel and John Mount] | 2014 | Manning Publications | |
| 1550 | Analytics in a Big Data World: The Essential Guide to Data Science and its Applications | Bart Baesens [Bart Baesens] | 2014 | John Wiley & Sons | |
| 1551 | R for Data Science | Dan Toomey [Dan Toomey] | 2014 | Packt Publishing | |
| 1552 | Data Science at the Command Line | Jeroen Janssens [Jeroen Janssens] | 2014 | O’Reilly Media, Inc. | |
| 1553 | Web and Network Data Science: Modeling Techniques in Predictive Analytics | Thomas W. Miller [Thomas W. Miller] | 2014 | PH Professional Business | |
| 1554 | Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science | Thomas W. Miller [Thomas W. Miller] | 2014 | PH Professional Business | |
| 1555 | 2013 Data Science Salary Survey | Roger Magoulas & John King | 2014 | O'Reilly Media, Inc. | |
| 1556 | Agile data science | Jurney, Russell | 2014 | O'Reilly | |
| 1557 | Data smart: using data science to transform information into insight | Foreman, John W | 2014 | Wiley | |
| 1558 | Doing data science | O'Neil, Cathy;Schutt, Rachel | 2014 | O'Reilly Media | |
| 1559 | Doing data science | O'Neil, Cathy;Schutt, Rachel | 2014 | O'Reilly Media | |
| 1560 | Data Science with R | Pathak, Manas A | 2014 | Springer | |
| 1561 | Data Science for Business: What you need to know about data mining and data-analytic thinking | Foster Provost, Tom Fawcett | 2013 | O'Reilly Media | |
| 1562 | Doing Data Science: Straight Talk from the Frontline | Rachel Schutt, Cathy O'Neil | 2013 | O'Reilly Media | |
| 1563 | Doing Data Science: Straight Talk from the Frontline | Rachel Schutt, Cathy O'Neil | 2013 | O'Reilly Media | |
| 1564 | Agile data science: building data analytics applications with Hadoop | Russell Jurney | 2013 | O'Reilly Media | |
| 1565 | Agile data science: building data analytics applications with Hadoop | Russell Jurney | 2013 | O'Reilly Media | |
| 1566 | Data Science for Business: What you need to know about data mining and data-analytic thinking | Foster Provost, Tom Fawcett | 2013 | O'Reilly Media | |
| 1567 | Data Science for Business: What you need to know about data mining and data-analytic thinking | Foster Provost, Tom Fawcett | 2013 | O'Reilly Media | |
| 1568 | Data Smart: Using Data Science to Transform Information into Insight | John W. Foreman | 2013 | Wiley | |
| 1569 | Data Smart: Using Data Science to Transform Information into Insight | John W. Foreman | 2013 | Wiley | |
| 1570 | Data Smart: Using Data Science to Transform Information into Insight | John W. Foreman | 2013 | Wiley | |
| 1571 | Doing Data Science: Straight Talk from the Frontline | Cathy O'Neil, Rachel Schutt | 2013 | O'Reilly Media | |
| 1572 | Doing Data Science | Cathy O'Neil, Rachel Schutt | 2013 | O'Reilly Media | |
| 1573 | Agile Data Science | Russell Jurney | 2013 | O'Reilly Media | |
| 1574 | Data Science for Business: What you need to know about data mining and data-analytic thinking | Foster Provost, Tom Fawcett | 2013 | O'Reilly Media | |
| 1575 | Doing Data Science: Straight Talk from the Frontline | Cathy O'Neil | 2013 | O'Reilly Media | |
| 1576 | Agile Data Science: Building Data Analytics Applications with Hadoop | Russell Jurney | 2013 | O'Reilly Media | |
| 1577 | XML and Web Technologies for Data Sciences with R (Use R!) | Deborah Nolan, Duncan Temple Lang | 2013 | Springer | |
| 1578 | Data Smart: Using Data Science to Transform Information into Insight | John W. Foreman | 2013 | Wiley | |
| 1579 | Doing Data Science | Cathy O’Neil & Rachel Schutt [Cathy O’Neil] | 2013 | O’Reilly Media, Inc. | |
| 1580 | Data Smart: Using Data Science to Transform Information into Insight | John W. Foreman [John W. Foreman] | 2013 | John Wiley & Sons | |
| 1581 | Data Science for Business | Fawcett, Tom;Provost, Foster | 2013 | O'Reilly Media | |
| 1582 | Data science for business | Fawcett, Tom;Provost, Foster | 2013 | O'Reilly | |
| 1583 | Doing Data Science | Cathy ONeil and Rachel Schutt | 2013 | OReilly Media | |
| 1584 | XML and Web Technologies for Data Sciences with R (Use R!) | Deborah Nolan, Duncan Temple Lang | 2013 | Springer | |
| 1585 | How Data Science Is Transforming Health Care | Tim O'Reilly; Mike Loukides; Julie Steele | 2012 | O'Reilly Media | |
| 1586 | Statistical learning and data science | Mireille Gettler Summa; et al | 2011 | Chapman & Hall/CRC | |
| 1587 | What is data science? : a beginner's guide to key concepts and pitfalls | Mike Loukides | 2011 | | |
| 1588 | Data Science and Classification | Vladimir Batagelj, Hans-Hermann Bock, Anuka Ferligoj, Ale iberna | 2006 | Springer | |
| 1589 | Innovations in Classification, Data Science, and Information Systems: Proceedings of the 2 | Daniel Baier, Klaus-Dieter Wernecke (Editors) | 2004 | | |
| 1590 | Data Science, Classification, and Related Methods: Proceedings of the Fifth Conference of the International Federation of Classification Societies (IFCS-96), Kobe, Japan, March 27–30, 1996 | Hans H. Bock (auth.), Prof. Emeritus Chikio Hayashi, Prof. Keiji Yajima, Prof. Hans-Hermann Bock, Prof. Noboru Ohsumi, Prof. Yutaka Tanaka, Prof. Yasumasa Baba (eds.) | 1998 | Springer Japan | |
| 1591 | SQL for Marketers: Dominate data analytics, data science, and big data | LazyProgrammer | 0 | LazyProgrammer | |
| 1592 | Big Data at Work: The Data Science Revolution and Organizational Psychology | Scott Tonidandel,? Eden B. King,? Jose M. Cortina (eds.) | 0 | Routledge | |
| 1593 | Java Data Science Cookbook | ?????. | 0 | Packt Publishing | |
| 1594 | Introduction to Data Science | Laura Igual & Santi Segu? | 0 | Springer International Publishing, Cham | |
| 1595 | R for Data Science | Dan Toomey | 2014 | Packt Publishing | |
| 1596 | Parallel computing for data science : with examples in R, C++ and CUDA | Matloff, Norman S. | 2016 | CRC Press | |
| 1597 | Mathematical Problems in Data Science: Theoretical and Practical Methods | Li M. Chen, Zhixun Su, Bo Jiang | 2016 | Springer | |
| 1598 | Scala for Data Science | Pascal Bugnion | 2016 | Packt Publishing | |
| 1599 | Introduction to HPC with MPI for Data Science | Frank Nielsen (auth.) | 2016 | Springer International Publishing | |
| 1600 | Data Science: Questions and Answers | George A Duckett | 2016 | CreateSpace Independent Publishing Platform | |
| 1601 | Data Science: Questions and Answers | George A Duckett | 2016 | CreateSpace Independent Publishing Platform | |
| 1602 | Data Science: Questions and Answers | George A Duckett | 2016 | CreateSpace Independent Publishing Platform | |
| 1603 | Data Science: Questions and Answers | George A Duckett | 2016 | CreateSpace Independent Publishing Platform | |
| 1604 | Data science for dummies | Lillian Pierson; Jake Porway (foreword) | 2015 | John Wiley and Sons | |
| 1605 | Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving | Deborah Nolan, Duncan Temple Lang | 2015 | Chapman and Hall/CRC | |
| 1606 | R Programming for Data Science | Roger D. Peng | 2015 | [Leanpub] | |
| 1607 | Statistical Learning and Data Sciences: Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings | Alexander Gammerman, Vladimir Vovk, Harris Papadopoulos (eds.) | 2015 | Springer International Publishing | |
| 1608 | Data Science from Scratch: First Principles with Python | Joel Grus | 2015 | O'Reilly Media | |
| 1609 | Data Science from Scratch: First Principles with Python | Grus, Joel [Grus, Joel] | 2015 | O'Reilly Media | |
| 1610 | Data Science, Learning by Latent Structures, and Knowledge Discovery | Berthold Lausen, Sabine Krolak-Schwerdt, Matthias Böhmer (eds.) | 2015 | Springer-Verlag Berlin Heidelberg | |
| 1611 | Data Science in the Cloud: with Microsoft Azure Machine Learning and R | Stephen F. Elston | 2015 | O'Reilly Media | |
| 1612 | Data Science from Scratch: First Principles with Python | Joel Grus | 2015 | O'Reilly Media | |
| 1613 | Data Science: 30th British International Conference on Databases, BICOD 2015, Edinburgh, UK, July 6-8, 2015, Proceedings | Sebastian Maneth (eds.) | 2015 | Springer International Publishing | |
| 1614 | Python Data Science Essentials - Learn the fundamentals of Data Science with Python | Alberto Boschetti, Luca Massaron | 2015 | Packt Publishing | |
| 1615 | Python Data Science Essentials - Learn the fundamentals of Data Science with Python | Alberto Boschetti, Luca Massaron | 2015 | Packt Publishing | |
| 1616 | Python Data Science Essentials - Learn the fundamentals of Data Science with Python | Alberto Boschetti, Luca Massaron | 2015 | Packt Publishing | |
| 1617 | Clean Data - Data Science Strategies for Tackling Dirty Data | Megan Squire | 2015 | Packt Publishing | |
| 1618 | Clean Data - Data Science Strategies for Tackling Dirty Data | Megan Squire | 2015 | Packt Publishing | |
| 1619 | Clean Data - Data Science Strategies for Tackling Dirty Data | Megan Squire | 2015 | Packt Publishing | |
| 1620 | 120 real data science interview questions | Carl Shan, Max Song, Henry Wang, And William Chen | 2015 | | |
| 1621 | Creativity in Intelligent, Technologies and Data Science: First Conference, CIT&DS 2015, Volgograd, Russia, September 15–17, 2015, Proceedings | Alla Kravets, Maxim Shcherbakov, Marina Kultsova, Olga Shabalina (eds.) | 2015 | Springer International Publishing | |
| 1622 | Data Science: Second International Conference, ICDS 2015 Sydney, Australia, August 8–9, 2015. Proceedings | Chengqi Zhang, Wei Huang, Yong Shi, Philip S. Yu, Yangyong Zhu, Yingjie Tian, Peng Zhang, Jing He (eds.) | 2015 | Springer International Publishing | |
| 1623 | Learning to Love Data Science | Mike Barlow | 2015 | O'Reilly Media | |
| 1624 | Python Data Science Cookbook | Gopi Subramanian | 2015 | Packt Publishing | |
| 1625 | Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data | EMC Education Services | 2015 | Wiley | |
| 1626 | Fraud analytics using descriptive, predictive, and social network techniques : a guide to data science for fraud detection | Bart Baesens, Veronique Van Vlasselaer, Wouter Verbeke | 2015 | John Wiley & Sons | |
| 1627 | Statistical inference for data science - A companion to the Coursera Statistical Inference Course | Brian Caffo | 2015 | | |
| 1628 | The Art of Data Science: A Guide for Anyone Who Works with Data | Roger D. Peng, Elizabeth Matsui | 2015 | | |
| 1629 | Report Writing for Data Science in R | Roger D. Peng | 2015 | | |
| 1630 | Python for Data Science For Dummies | John Paul Mueller, Luca Massaron | 2015 | Wiley | |
| 1631 | Learning to Love Data Science | Mike Barlow | 2015 | O’Reilly Media | |
| 1632 | Getting Started with Data Science: Making Sense of Data with Analytics | Murtaza Haider | 2015 | IBM Press | |
| 1633 | XML and Web Technologies for Data Sciences with R | Deborah Nolan, Duncan Temple Lang (auth.) | 2014 | Springer-Verlag New York | |
| 1634 | Practical Data Science with R | Nina Zumel, John Mount | 2014 | Manning Publications | |
| 1635 | Practical Data Science with R | Nina Zumel, John Mount | 2014 | Manning Publications | |
| 1636 | Practical Data Science with R | Nina Zumel, John Mount | 2014 | Manning Publications | |
| 1637 | Data Science at the Command Line | Data Science at the Command Line: Facing the Future with Time-Tested Tools | 2014 | O’Reilly | |
| 1638 | Data Science at the Command Line: Facing the Future with Time-Tested Tools | Jeroen Janssens | 2014 | O’Reilly Media | |
| 1639 | Practical Data Science Cookbook | Tony Ojeda, Sean Patrick Murphy, Benjamin Bengfort, Abhijit Dasgupta | 2014 | Packt Publishing - ebooks Account | |
| 1640 | Beginning Data Science with R | Manas A. Pathak (auth.) | 2014 | Springer International Publishing | |
| 1641 | R for Data Science | Dan Toomey | 2014 | Packt Publishing | |
| 1642 | Foundations of Data Science | John Hopcroft, Ravindran Kannan | 2014 | | |
| 1643 | Beginning Data Science with R | Manas A. Pathak | 2014 | Springer | |
| 1644 | Analytics in a Big Data World: The Essential Guide to Data Science and its Applications | Bart Baesens | 2014 | Wiley | |
| 1645 | Data Science for Business: What you need to know about data mining and data-analytic thinking | Foster Provost, Tom Fawcett | 2013 | O'Reilly Media | |
| 1646 | Doing Data Science: Straight Talk from the Frontline | Rachel Schutt, Cathy O'Neil | 2013 | O'Reilly Media | |
| 1647 | Doing Data Science: Straight Talk from the Frontline | Rachel Schutt, Cathy O'Neil | 2013 | O'Reilly Media | |
| 1648 | Agile data science: building data analytics applications with Hadoop | Russell Jurney | 2013 | O'Reilly Media | |
| 1649 | Agile data science: building data analytics applications with Hadoop | Russell Jurney | 2013 | O'Reilly Media | |
| 1650 | Data Science for Business: What you need to know about data mining and data-analytic thinking | Foster Provost, Tom Fawcett | 2013 | O'Reilly Media | |
| 1651 | Data Science for Business: What you need to know about data mining and data-analytic thinking | Foster Provost, Tom Fawcett | 2013 | O'Reilly Media | |
| 1652 | Data Smart: Using Data Science to Transform Information into Insight | John W. Foreman | 2013 | Wiley | |
| 1653 | Data Smart: Using Data Science to Transform Information into Insight | John W. Foreman | 2013 | Wiley | |
| 1654 | Data Smart: Using Data Science to Transform Information into Insight | John W. Foreman | 2013 | Wiley | |
| 1655 | Doing Data Science: Straight Talk from the Frontline | Cathy O'Neil, Rachel Schutt | 2013 | O'Reilly Media | |
| 1656 | Doing Data Science | Cathy O'Neil, Rachel Schutt | 2013 | O'Reilly Media | |
| 1657 | Agile Data Science | Russell Jurney | 2013 | O'Reilly Media | |
| 1658 | Building Data Science Teams: The Skills, Tools, and Perspectives Behind Great Data Science Groups | DJ Patil | 2011 | O'Reilly | |
| 1659 | Statistical learning and data science | Mireille Gettler Summa; et al | 2011 | Chapman & Hall/CRC | |
| 1660 | Data Science and Classification | Emmanuel Blanchard, Pascale Kuntz, Mounira Harzallah, Henri Briand (auth.), Prof. Dr. Vladimir Batagelj, Prof. Dr. Hans-Hermann Bock, Prof. Dr. Anuška Ferligoj, Aleš Žiberna (eds.) | 2006 | Springer-Verlag Berlin Heidelberg | |
| 1661 | Innovations in Classification, Data Science, and Information Systems: Proceedings of the 27th Annual Conference of the Gesellschaft für Klassifikation e.V., Brandenburg University of Technology, Cottbus, March 12–14, 2003 | Sergiu Chelcea, Patrice Bertrand, Brigitte Trousse (auth.), Prof. Dr. Daniel Baier, Prof. Dr. Klaus-Dieter Wernecke (eds.) | 2005 | Springer-Verlag Berlin Heidelberg | |
| 1662 | Between Data Science and Applied Data Analysis: Proceedings of the 26th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Mannheim, July 22–24, 2002 | Anthony Atkinson, Andrea Cerioli, Marco Riani (auth.), Prof. Dr. Martin Schader, Prof. Dr. Wolfgang Gaul, Prof. Maurizio Vichi (eds.) | 2003 | Springer-Verlag Berlin Heidelberg | |
| 1663 | Advances in Data Science and Classification: Proceedings of the 6th Conference of the International Federation of Classification Societies (IFCS-98) Università “La Sapienza”, Rome, 21–24 July, 1998 | J. Douglas Carroll, Anil Chaturvedi (auth.), Professor Alfredo Rizzi, Professor Maurizio Vichi, Professor Dr. Hans-Hermann Bock (eds.) | 1998 | Springer Berlin Heidelberg | |
| 1664 | Data Science, Classification, and Related Methods: Proceedings of the Fifth Conference of the International Federation of Classification Societies (IFCS-96), Kobe, Japan, March 27–30, 1996 | Hans H. Bock (auth.), Prof. Emeritus Chikio Hayashi, Prof. Keiji Yajima, Prof. Hans-Hermann Bock, Prof. Noboru Ohsumi, Prof. Yutaka Tanaka, Prof. Yasumasa Baba (eds.) | 1998 | Springer Japan | |
| 1665 | Java Programming Box Set: Programming, Master's Handbook & Artificial Intelligence Made Easy; Code, Data Science, Automation, problem solving, Data Structures & Algorithms | Code Well Academy. | | | |
| 1666 | Java Programming Box Set: Programming, Master's Handbook & Artificial Intelligence Made Easy; Code, Data Science, Automation, problem solving, Data Structures & Algorithms | Code Well Academy. | | | |
| 1667 | ProgrammerLazy. SQL for Marketers: Dominate data analytics, data science, and big data. Data Science and Machine Learning in Python | | | | |
| 1668 | ProgrammerLazy. SQL for Marketers: Dominate data analytics, data science, and big data. Data Science and Machine Learning in Python | | | | |
| 1669 | The Art of Data Science: A guide for everyone who works with data | Peng Roger D., Matsui Elizabeth. | | | |
| 1670 | Process Mining: Data Science in Action | Van der Aalst W. | | | |
| 1671 | Big Data MBA Driving Business Strategies with Data Science | Schmarzo B. | | | |
| 1672 | Learning from Data Made Easy with R: A Gentle Introduction for Data Science | Lewis N.D. | | | |
| 1673 | Introduction to Data Science | Stanton J. | | | |
| 1674 | Data Science For Dummies (Converted) | Pierson L. | | | |
| 1675 | Mastering Python for Data Science | Madhavan S. | | | |
| 1676 | Clojure for Data Science: Statistics, big data, and machine learning for Clojure programmers | Harner G. | | | |
| 1677 | 2017 European Data Science Salary Survey | Roger Magoulas & John King | | O'Reilly Media, Inc. | |
| 1678 | DATA SCIENCE FROM SCRATCH: From Data Visualization To Manipulation. It Is The Easy Way! All You Need For Business Using The Basic Principles Of Python And Beyond [REVISED & EXPANDED EDITION] | WILLIAM GRAY | | | |
| 1679 | PYTHON FOR DATA SCIENCE: The Ultimate Beginners’ Guide to Learning Python Data Science Step by Step | Ethan Williams | | | |
| 1680 | Data Science and Security: Proceedings of IDSCS 2020 | Dharm Singh Jat | | | |
| 1681 | Machine Learning: Jump on the Way to the Future, Discover Artificial Intelligence and Data Science. Maximize your Business in the Modern World Mastering Deep Learning, Python and Algorithms | Dan Phillips | | | |
| 1682 | Python programming for beginners: 3 books in 1: Beginner's guide, Data science and Machine learning | William Wizner | | | |
| 1683 | Python: 2 books in 1: Python For Beginners + Python Programming . Master the machine language Data Science Analysis and Artificial intelligence. Exercises included! | Marc Matthes | | | |
| 1684 | Python for Data Science: Data analysis and Deep learning with Python coding and programming | William Wizner | | | |
| 1685 | Data Science with Julia | McNicholas, Paul D.;Tait, Peter | | CRC Press | |
| 1686 | Advanced Studies in Classification and Data Science | Tadashi Imaizumi; Akinori Okada; Sadaaki Miyamoto; Fumitake Sakaori; Yoshiro Yamamoto; Maurizio Vichi | | Springer Singapore | |
| 1687 | Data Science and Machine Learning Interview Questions Using Python: A Complete Question Bank to Crack Your Interview (English Edition) | Vishwanathan Narayanan | | | |
| 1688 | Applied Data Science Using PySpark: Learn the End-to-End Predictive Model-Building Cycle | Ramcharan Kakarla; Sundar Krishnan; Sridhar Alla | | Apress | |
| 1689 | Natural Language Processing in Python: Master Data Science and Machine Learning for spam detection, sentiment analysis, latent semantic analysis, and article spinning | | | | |
| 1690 | Data Science Bookcamp: Five Python projects | Leonard Apeltsin | | Manning Publications Co. | |
| 1691 | Programming Skills for Data Science: Start Writing Code to Wrangle, Analyze, and Visualize Data with R | Michael K. Freeman; Joel Ross | | | |
| 1692 | Master Data Science and Data Analysis with Pandas | Arun Kumar | | | |
| 1693 | Deep Learning in Python Prerequisites: Master Data Science and Machine Learning with Linear Regression and Logistic Regression in Python (Machine Learning in Python) | LazyProgrammer | | | |
| 1694 | Oracle PL/SQL by Example (The Oracle Press Database and Data Science) | Benjamin Rosenzweig, Elena Rakhimov | | Oracle Press | |
| 1695 | Scaling Python with Dask: From Data Science to Machine Learning | Holden Karau, Mika Kimmins | | O'Reilly Media | |
| 1696 | Functional Programming in R 4: Advanced Statistical Programming for Data Science, Analysis, and Finance | Thomas Mailund | | Apress | |
| 1697 | Data Analytics for Drilling Engineering: Theory, Algorithms, Experiments, Software (Information Fusion and Data Science) | Qilong Xue | | | |
| 1698 | Python for Beginners: Comprehensive Guide to the Basics of Programming, Machine Learning, Data Science and Analysis with Python. | Alex Campbell | | | |
| 1699 | Python: Python For Data Science And Machine Learning | Andy Vickler | | | |
| 1700 | Beginner's Guide to Data Science | Sahla Muhammed Ali | | | |
| 1701 | Beginner's Guide to Data Science | Sahla Muhammed Ali | | | |
| 1702 | Hands-On Data Analysis with Pandas: A Python data science handbook for data collection, wrangling, analysis, and visualization, 2nd Edition | Stefanie Molin | | Packt Publishing | |
| 1703 | The Kaggle Workbook: Self-learning exercises and valuable insights for Kaggle data science competitions | Konrad Banachewicz, Luca Massaron | | Packt Publishing | |
| 1704 | Machine Learning For Absolute Beginners: A Plain English Introduction (Second Edition) (AI, Data Science, Python & Statistics for Beginners Book 3) | O Theobald | | | |
| 1705 | Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud | Paul Deitel, Harvey Deitel | | Pearson | |
| 1706 | Data Visualization Guide: Clear Guide to Data Science and Visualization | Alex Campbell | | | |
| 1707 | Introduction to Python - Data Science, Quantitative Finance (2.0) | Lilan Li | | | |
| 1708 | Introduction to Python - Data Science, Quantitative Finance (2.0) | Lilan Li | | | |
| 1709 | Machine Learning and Data Science Blueprints for Finance: From Building Trading Strategies to Robo-Advisors Using Python | Hariom Tatsat, Sahil Puri, Brad Lookabaugh | | O'Reilly Media | |
| 1710 | Data Science Fundamentals Pocket Primer | Oswald Campesato | | Mercury Learning and Information | |
| 1711 | Scala for Data Science: Leverage the power of Scala with different tools to build scalable, robust data science applications | Pascal Bugnion | | Packt Publishing | |
| 1712 | Reproducible Data Science with Pachyderm: Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0 | Svetlana Karslioglu | | Packt Publishing | |
| 1713 | Data Science Projects with Python: A case study approach to gaining valuable insights from real data with machine learning, 2nd Edition | Stephen Klosterman | | Packt Publishing | |
| 1714 | Data-Driven SEO with Python: Solve SEO Challenges with Data Science Using Python | Andreas Voniatis | | Apress | |
| 1715 | Data Science: Theory, Algorithms, and Applications (Transactions on Computer Systems and Networks) | Gyanendra K. Verma | | | |
| 1716 | Ultimate Step by Step Guide to Data Science Using Python: Real Word Use Cases with Downloadable Code Examples (Ultimate Step by Step Guide to Machine Learning Book 3) | Daneyal Anis | | | |
| 1717 | Practical Data Science with Hadoop and Spark: Designing and Building Effective Analytics at Scale (Addison-Wesley Data & Analytics) | Ofer Mendelevitch, Casey Stella, Douglas Eadline | | Addison-Wesley Professional | |
| 1718 | Python For Beginners. 2 Books in 1: A Completed Guide to Master the Basics of Python Language Programming and Data Science. Learn Coding Fast with Examples and Tips | Julian McKinnon | | | |
| 1719 | Building Data Science Applications with FastAPI: Develop, manage, and deploy efficient machine learning applications with Python | François Voron | | Packt Publishing | |
| 1720 | Data Science Without Makeup: A Guidebook for End-Users, Analysts, and Managers | Mikhail Zhilkin | | Chapman and Hall/CRC | |
| 1721 | Python Machine Learning for Beginners: Learning from scratch NumPy, Pandas, Matplotlib, Seaborn, Scikitlearn, and TensorFlow for Machine Learning and ... Learning & Data Science for Beginners) | AI Publishing | | | |
| 1722 | Dive Into Data Science: Use Python To Tackle Your Toughest Business Challenges | Bradford Tuckfield | | | |
| 1723 | Python for Data Science: A step-by-step Python Programming Guide to Master Big Data, Analysis, Machine Learning, and Artificial Intelligence (Learn Python ... data analysis and machine learning) | Oscar Brogan | | | |
| 1724 | PYTHON FOR BEGINNERS: A Complete Guide To Learn Programming, Data Science, Machine Learning And Coding Language Which Explain Step By Step Useful Tips And Tricks And Hands-On Exercises | Max Coding | | | |
| 1725 | How To Start A Career In Data Science | Advice From 20 Experts: A Step-by-Step Guide On How To Become A Data Scientist | Dr Briit | | | |
| 1726 | Python Data Science: Deep Learning Guide for Beginners with Data Science. Python Programming and Crush Course. | Robert Hack | | | |
| 1727 | Master Python Programming : Learn essential Python for Machine Learning and Data Science (Volume 1) | Abhishek Singh | | | |
| 1728 | Data Analytics and Computer Hacking & Mobile Hacking 3 Bundle Manuscript: Beginners Guide to Learn Data Analytics, Predictive Analytics and Data Science ... (Hacking Freedom and Data Driven Book 7) | Isaac D. Cody | | | |
| 1729 | Effective Data Science Infrastructure: How to make data scientists productive | Ville Tuulos | | Manning | |
| 1730 | Confident Data Science(2023)[Nelson][9781398612334] | | | | |
| 1731 | Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications | Abhishek Majumder, Joy Lal Sarkar (editor), Arindam Majumder (editor) | | Bentham Science Publishers | |
| 1732 | Artificial Intelligence and Data Science in Recommendation System: Current Trends, Technologies and Applications | Abhishek Majumder, Joy Lal Sarkar (editor), Arindam Majumder (editor) | | Bentham Science Publishers | |
| 1733 | Applying Data Science: How to Create Value with Artificial Intelligence | Arthur K Kordon | | | |
| 1734 | Introduction to Environmental Data Science | William W. Hsieh | | Cambridge University Press | |
| 1735 | Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering | Haksun Li PhD | | Apress | |
| 1736 | Predicting the Unknown: The History and Future of Data Science and Artificial Intelligence | Stylianos Kampakis | | Apress | |
| 1737 | Predicting the Unknown: The History and Future of Data Science and Artificial Intelligence | Stylianos Kampakis | | Apress | |
| 1738 | Applied Geospatial Data Science with Python: Leverage geospatial data analysis and modeling to find unique solutions to environmental problems | David S. Jordan | | Packt Publishing | |
| 1739 | Numerical Methods Using Kotlin: For Data Science, Analysis, and Engineering | Haksun Li PhD | | Apress | |
| 1740 | Data Science: The Hard Parts: Techniques for Excelling at Data Science | Daniel Vaughan | | O'Reilly Media | |
| 1741 | Data Science: The Hard Parts: Techniques for Excelling at Data Science | Daniel Vaughan | | O'Reilly Media | |
| 1742 | Graph Data Science with Neo4j: Learn how to use Neo4j 5 with Graph Data Science library 2.0 and its Python driver for your project | Estelle Scifo | | Packt Publishing | |
| 1743 | Data Science In The Library: Tools and Strategies for Supporting Data-Driven Research and Instruction | Joel Herndon (editor) | | Facet Publishing | |
| 1744 | Hands on Data Science for Biologists Using Python | Yasha Hasija | | | |
| 1745 | Explanatory Model Analysis: Explore, Explain, and Examine Predictive Models (Chapman & Hall/CRC Data Science Series) | Przemyslaw Biecek, Tomasz Burzykowski | | Chapman and Hall/CRC | |
| 1746 | Hands-On Data Science with Anaconda: Utilize the right mix of tools to create high-performance data science applications | Dr. Yuxing Yan, James Yan | | Packt Publishing | |
| 1747 | Hands-On Data Science with Anaconda: Utilize the right mix of tools to create high-performance data science applications | Dr. Yuxing Yan, James Yan | | Packt Publishing | |
| 1748 | Decoding the Social World: Data Science and the Unintended Consequences of Communication (Information Policy) | Sandra Gonzalez-Bailon | | The MIT Press | |
| 1749 | Human-Centered Data Science: An Introduction | Cecilia Aragon; Shion Guha; Marina Kogan; Michael Muller; Gina Neff | | | |
| 1750 | Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track: European Conference, ECML PKDD 2021, Bilbao, Spain, September ... Part IV (Lecture Notes in Computer Science) | Yuxiao Dong; Nicolas Kourtellis; Barbara Hammer; José A. Lozano | | | |
| 1751 | Machine Learning, Optimization, and Data Science: 9th International Conference, LOD 2023, Grasmere, UK, September 22–26, 2023, Revised Selected ... II (Lecture Notes in Computer Science, 14506) | Giuseppe Nicosia; Varun Ojha; Emanuele La Malfa; Gabriele La Malfa; Panos M. Pardalos; Renato Umeton | | | |
| 1752 | Machine Learning, Optimization, and Data Science: 9th International Conference, LOD 2023, Grasmere, UK, September 22–26, 2023, Revised Selected ... I (Lecture Notes in Computer Science, 14505) | Giuseppe Nicosia; Varun Ojha; Emanuele La Malfa; Gabriele La Malfa; Panos M. Pardalos; Renato Umeton | | | |
| 1753 | Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track: European Conference, ECML PKDD 2023, Turin, Italy, ... VI (Lecture Notes in Artificial Intelligence) | Gianmarco De Francisci Morales; Claudia Perlich; Natali Ruchansky; Nicolas Kourtellis; Elena Baralis; Francesco Bonchi | | | |
| 1754 | Machine Learning, Optimization, and Data Science: 7th International Conference, LOD 2021, Grasmere, UK, October 4–8, 2021, Revised Selected Papers, ... Applications, incl. Internet/Web, and HCI) | Giuseppe Nicosia; Varun Ojha; Emanuele La Malfa; Gabriele La Malfa; Giorgio Jansen; Panos M. Pardalos; Giovanni Giuffrida; Renato Umeton | | | |
| 1755 | Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track: European Conference, ECML PKDD 2020, Ghent, Belgium, September ... Part IV (Lecture Notes in Computer Science) | Yuxiao Dong; Dunja Mladenic; Craig Saunders | | | |
| 1756 | Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track: European Conference, ECML PKDD 2023, Turin, Italy, ... (Lecture Notes in Computer Science, 14175) | Gianmarco De Francisci Morales; Claudia Perlich; Natali Ruchansky; Nicolas Kourtellis; Elena Baralis; Francesco Bonchi | | | |
| 1757 | Machine Learning, Optimization, and Data Science: 6th International Conference, LOD 2020, Siena, Italy, July 19–23, 2020, Revised Selected Papers, Part I (Lecture Notes in Computer Science) | Giuseppe Nicosia; Varun Ojha; Emanuele La Malfa; Giorgio Jansen; Vincenzo Sciacca; Panos Pardalos; Giovanni Giuffrida; Renato Umeton | | Springer | |
| 1758 | Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track: European Conference, ECML PKDD 2020, Ghent, Belgium, ... Part V (Lecture Notes in Computer Science) | Yuxiao Dong; Georgiana Ifrim; Dunja Mladenic; Craig Saunders; Sofie Van Hoecke | | | |
| 1759 | Intro to Python for Computer Science and Data Science | Paul Deitel, Harvey Deitel | | Pearson Education, Inc. | |
