# Books

## All-purpose

- R for Health Data Science - by Ewen Harrison and Riinu Pius
- Statistical Inference via Data Science.A ModernDive into R and the tidyverse by Chester Ismay and Albert Y. Kim
- Learning Statistics with R by Danielle Navarro
- Data Science for Psychologists by Hansjorg Neth

## R Programming

- R for Data Science by Garrett Grolemund and Hadley Wickham
- Advanced R by Hadley Wickham
- R Programming for Data Science by Roger Peng

## Visualization

- R Graphics Cookbook by Winston Chang
- Data Visualization with R by Rob Kabacoff
- Fundamentals of Data Visualization by Claus O. Wilke

## Reporting

- R Markdown Cookbook by Yihui Xie, Christophe Dervieux, Emily Riederer
- Interactive web-based data visualization with R, plotly, and shiny by Carson Sievert
- Mastering Shiny by Hadley Wickham

## Statistical and Machine Learning

- An Introduction to Statistical Learning with Applications in R by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
- Hands-On Machine Learning with R Bradley Boehmke & Brandon Greenwell
- Forecasting: Principles and Practice (3rd Ed.) by Rob Hyndman and George Athanasopoulos

# Courses

- Introductory Data Science using R by Derek L. Sonderegger
- Data Visualization by Andrew Heiss
- Discovering Statistics by Andy Field
- Data Visualization in R by Michael Friendly
- Stat 545 by Jenny Bryan
- Stat 545 Videos by Vincenzo Coia

# Miscelaneous Resources

- RStudio Cloud Primers by RStudio
- Programming with R - by Carpentries