• 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 BY-NC-ND 3.0 US
• Hardcover/Paperback: 430 pages
• eBook: HTML
• Language: English
• ISBN-10/ASIN: 0367409879
• ISBN-13: 978-0367409876
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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.

• Chester Ismay is a Data Science Evangelist for DataRobot and is based in Portland, Oregon, USA.

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• 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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