Data science bibliography Page

Data Science Bibliography



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* Data Quality Fundamentals - A Practitioner’s Guide to Building Trustworthy Data Pipelines by Barr Moses, Lior Gavish, and Molly Vorwerck
* Python for Data Science by Yuli Vasiliev - https://learning.oreilly.com/library/view/python-for-data/9781098130275 - B09BKLV68X (PyDatSciYV 2022)
* Data Science at the Command Line, 2nd Edition, by Jeroen Janssens - https://learning.oreilly.com/library/view/data-science-at/9781492087908 - B09CX29SDJ (DatSciCmdLn 2022)
* Python for Data Analysis - Data Wrangling with pandas, NumPy, and Jupyter, 3rd Edition by Wes McKinney - https://learning.oreilly.com/library/view/python-for-data/9781098104023, B0B9HY3WX7 (PyDtAnMcKn 2022)
* Data Mesh by Zhamak Dehghani - https://learning.oreilly.com/library/view/data-mesh/9781492092384
* Python Data Science Handbook, 2nd Edition by Jake VanderPlas - https://learning.oreilly.com/library/view/python-data-science/9781098121211
* Data Science from Scratch, 2nd Edition by Joel Grus - https://learning.oreilly.com/library/view/data-science-from/9781492041122
* Data Science on the Google Cloud Platform - Implementing End-to-End Real-Time Data Pipelines - From Ingest to Machine Learning, 2nd Edition by Valliappa Lakshmanan
* R in Action, Third Edition by Robert I. Kabacoff - https://learning.oreilly.com/library/view/r-in-action/9781617296055
* R Cookbook, 2nd Edition by JD Long, Paul Teetor - https://learning.oreilly.com/library/view/r-cookbook-2nd/9781492040675
* R Language Definition Version 4.2.1 2022-06-23 by R Core Team - https://cran.r-project.org/doc/manuals/R-lang.pdf
* R 4 Quick Syntax Reference - A Pocket Guide to the Language, API's and Library by Margot Tollefson - https://learning.oreilly.com/library/view/r-4-quick/9781484279243
* The Book of R by Tilman M. Davies - https://learning.oreilly.com/library/view/the-book-of/9781492017486
* R for Data Science by Garrett Grolemund, Hadley Wickham - https://learning.oreilly.com/library/view/r-for-data/9781491910382
* Machine Learning with R - Third Edition by Brett Lantz - https://learning.oreilly.com/library/view/machine-learning-with/9781788295864
* Data Visualization with Python and JavaScript, 2nd Edition by Kyran Dale - https://learning.oreilly.com/library/view/data-visualization-with/9781098111861
* CompTIA Data+ Study Guide by Mike Chapple, Sharif Nijim - https://learning.oreilly.com/library/view/comptia-data-study/9781119845256
* Numerical Methods Using Java - For Data Science, Analysis, and Engineering by Haksun Li, PhD - https://learning.oreilly.com/library/view/numerical-methods-using/9781484267974


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