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 Title: Introduction to Data Science: Data Analysis and Prediction Algorithms with R
 Author(s) Rafael A. Irizarry
 Publisher: Chapman and Hall/CRC; (November 8, 2019); eBook (Creative Commons Licensed, 2022)
 License(s): CC BYNCSA 4.0
 Hardcover/Paperback: 713 pages
 eBook: HTML and PDF
 Language: English
 ISBN10/ASIN: 0367357984
 ISBN13: 9780367357986
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Book Description
This book introduces concepts and skills that can help you tackle realworld data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation.
About the Authors Rafael A. Irizarry is professor of data sciences at the DanaFarber Cancer Institute, professor of biostatistics at Harvard, and a fellow of the American Statistical Association.
 Data Science and Data Engineering
 Data Analysis and Data Mining, Big Data
 The R Programming Language
 Statistics, Mathematical Statistics, and SAS Programming
 Introduction to Data Science: Data Analysis and Prediction Algorithms with R (Rafael A. Irizarry)
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