“Statistical Inference Via Data Science: A Modern Dive into R and the Tidyverse” is a comprehensive textbook authored by Albert Y. Kim and Chester Ismay. Published in 2019 by CRC Press LLC as part of the Chapman and Hall/CRC the R Series, this 430-page book offers an in-depth exploration of statistical inference and regression analysis through the lens of data science. With a focus on the R programming language and Tidyverse ecosystem, this trade paperback publication provides readers with a practical and modern approach to statistical analysis. Perfect for students and professionals in the field of mathematics and data science, this book is a valuable resource for those looking to enhance their understanding of statistical inference techniques.