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 Title: Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making
 Author(s) Bin Yu, Rebecca L. Barter
 Publisher: The MIT Press (October 15, 2024); eBook (Creative Commons Licensed)
 License(s): CC BYNCSA 4.0
 Hardcover/Paperback: 526 pages
 eBook: HTML
 Language: English
 ISBN10/ASIN: 0262049198
 ISBN13: 9780262049191
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Book Description
Data science is not simply a subfield of statistics or computer science. Instead, it is the integration of statistical and computational thinking into realworld domain problems in science, technology, and beyond.
A primary focus of this book will involve developing techniques for demonstrating that every datadriven result that you produce is trustworthy.
About the Authors Bin Yu is the Chancellor's Distinguished Professor, Departments of Statistics and of Electrical Engineering & Computer Sciences, University of California at Berkeley.
 Data Science and Data Engineering
 Data Analysis and Data Mining, Big Data
 The R Programming Language
 Statistics, Mathematical Statistics, and SAS Programming
 Veridical Data Science: The Practice of Responsible Data Analysis and Decision Making
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