Image source: xkcd.com/1513/

- Modern Dive: Statistical Inference via Data Science - book by Chester Ismay and Albert Kim

- STAT 545 at UBC - Data wrangling, exploration, and analysis with R - Jenny Bryan
- Introduction to Data Science @ Duke - Mine Centenkaya-Rundel

- R for Data Science - book by Hadley Wickham & Garrett Grolemund
- Getting Used to R, RStudio, and R Markdown - book by Ismay and Kennedy
- Advanced R - book by Wickham
- Springer’s Use R! series
- Software Carpentry’s R for Reproducible Scientific Analysis tutorial
- John’s Hopkins Foundations Using R specialization through Coursera

- R Markdown: The Definitive Guide - book by Yihui Xie, J. J. Allaire, Garrett Grolemund
- R Markdown Cookbook - book by Yihui Xie, Christophe Dervieux, Emily Riederer
- Getting Started with R Markdown - Tutorial
- knitr - includes an exhaustive list of R chunk options
- R Markdown reference guide - your one-stop shop!
- Pimp my RMD: a few tips for R Markdown - a list of tips I use on a regular basis

- Creating websites in R
- blogdown: Creating Websites with R Markdown - book by Yihui Xie, Amber Tomas, Alison Hill
- Up & running with blogdown in 2021 - more up to date

- R Markdown: Websites

- Presentations with Beamer from R Markdown
- Beamer Tips slides by Paul Goldsmith-Pinkham and the source code to see how they were created
- Chapter 4 of
*R Markdown: The Definitive Guide*on creating presentations- Includes link to beamer theme matrix

- Mastering R presentations

- A ggplot2 tutorial for beautiful plotting in R - tutorial
- ggplot2: Elegant Graphics for Data Analysis - book by Hadley Wickham, author of the ggplot2 R package
- R Graphics Cookbook - book by Winston Chang
- Graphical Data Analysis with R - book by Antony Unwin

- RStudio Cheatsheets - scroll to the bottom to see contributed cheatsheets
- R Graphics for Intro Stats - Adam Loy
- Beautiful plotting in R: A
`ggplot2`

cheatsheet - Zev Ross

- Download Git
- Create GitHub or Bitbucket account to host your repositories
- Optional: download GitHub Desktop or Sourcetree GUI

- Happy Git and GitHub for the useR - book by Jenny Bryan
- GitHub Docs - GitHub’s own help documentation is incredibly useful
- Pro Git - online book on everything you’d every want to know about Git
- Udacity’s free course Version Control with Git
- Software Carpentry’s Version Control with Git tutorial

- Free SAS e-books
- SAS Programming for R Users and corresponding course

- Recommended books for purchase:

- Download Anaconda Distribution to install Python and Jupyter Notebook

- IPython Cookbook - book by Cyrille Rossant
- Jupyter Notebook documentation
- Software Carpentry’s Programming with Python tutorial
- Udacity’s free course Introduction to Python Programming
- More links to Python resources for beginners…

- Download a full TeX distribution (e.g., MacTeX for MacOS or MiKTeX for Windows)

- Overleaf - online, collaborative LaTeX editor

- The Not So Short Introduction to LaTeX - book by Oetiker, Partl, Hyna and Schlegl
- List of LaTeX mathematical symbols

- Designing the Data Science Classroom
- Data Science in a Box
- teach-r Online Workshops
- Workshop 1: Teaching R online with RStudio Cloud
- Workshop 2: Building interactive tutorials in R
- Workshop 3: Teaching computing with Git and Github

- Special issue of JSDSE on computing in the statistics and DS curriculum
- Implementing Version Control With Git and GitHub as a Learning Objective in Statistics and Data Science Courses - Beckman, Centinkaya-Rundel, Horton, Rundel, Sullivan & Tackett, JSDSE Vol 29, 2021

- Infrastructure and Tools for Teaching Computing Throughout the Statistical Curriculum - Centinkaya-Rundel & Rundel, TAS Vol 72, 2018