Resources for learning R

Below are freely available resources to learn or review the following in R: data wrangling, data visualization, Quarto basics.

In-depth introduction

Coursera: Data Visualization and Transformation with R by Mine Çetinkaya-Rundel and Elijah Meyer

  • Includes videos, readings, practice exercise, quizzes, and other resources
  • You can select content within the modules you want to complete.
  • Focus on Modules 2 and 3. Review the content in Module 1 as needed.s
  • Click here for instructions to register for Coursera for free as a Duke student

In-depth review

Data Science with R videos by Mine Çetinkaya-Rundel and Elijah Meyer

  • Videos from the data science Coursera course

  • Focus on videos on visualizing and summarizing data

  • You need to join the Coursera course to access the files from the code along videos.

Learn R: An interactive introduction to data analysis with R

  • Hands-on tutorial that can be completed within the site (no RStudio required)

  • Focus on Chapters 4 - 6

Shorter review

R for Data Science (2nd ed) by Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund

  • Focus on Chapters 1 - 3, 10

Additional resources