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 Title: Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
 Author(s) Chester Ismay and Albert Y. Kim
 Publisher: Chapman and Hall/CRC; 1st edition (2019); eBook (Creative Commons Licensed, July 26, 2023)
 License(s): CC BYNCND 3.0 US
 Hardcover/Paperback: 430 pages
 eBook: HTML
 Language: English
 ISBN10/ASIN: 0367409879
 ISBN13: 9780367409876
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Book Description
This book provides a pathway for learning about statistical inference using data science tools widely used in industry, academia, and government. It introduces the tidyverse suite of R packages, including the ggplot2 package for data visualization, and the dplyr package for data wrangling.
About the Authors Chester Ismay is a Data Science Evangelist for DataRobot and is based in Portland, Oregon, USA.
 Statistics, Mathematical Statistics, and SAS Programming
 Data Science
 The R Programming Language
 Data Analysis and Data Mining, Big Data
 Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
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