Additional Resources

Online Books to Learn R and Data Science

• Data Analysis with R Programming Language by Thiyanga Talagala and Priyanga Talagala

  

  These materials are designed and developed for a trainer-led workshop conducted by Thiyanga Talagala and Priyanga Talagala, but should be useful for self-guided learning as well.

• R for Data Science by by Hadley Wickham and Garrett Grolemund

  

  This is a great data science book for beginners interested in learning data science with R.

• Advanced R by Hadley Wickham

  

  This book aimed at intermediate and advanced R users.

• ggplot2: Elegant Graphics for Data Analysis by Hadley Wickham

  

  This book gives details on the basics of ggplot2 and Grammar of Graphics that ggplot2 uses.

• R Markdown: The Definitive Guide by Yihui Xie, J.J. Allaire and Garrett Grolemund.

  

  This book contains a large number of technical details related to rmarkdown.

• Forecasting: Principles and Practice by Rob J Hyndman and George Athanasopoulos

  

  This textbook provides a comprehensive introduction to forecasting method.

• RStudio Cheatsheets

  The RStudio Cheatsheets make it easy to use some of our favorite packages.