• 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 BY-NC-SA 4.0
• Hardcover/Paperback: 713 pages
• eBook: HTML and PDF
• Language: English
• ISBN-10/ASIN: 0367357984
• ISBN-13: 978-0367357986
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Book Description

This book introduces concepts and skills that can help you tackle real-world 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.

• Rafael A. Irizarry is professor of data sciences at the Dana-Farber Cancer Institute, professor of biostatistics at Harvard, and a fellow of the American Statistical Association.

• Amazon

• 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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