Data Analysis with R and Tidyverse

CTL: The Faculty Development Center recommends these resources to faculty who are interested in learning R and integrating data analysis into a course. They are the primary workshop materials for the “Data Analysis with R and Tidyverse: Exploring Social and Racial Equity” program offered in Summer 2025.

• R for Data Science(2e)  by Hadley Wickham (Author), Mine Cetinkaya-Rundel (Author), Garrett Grolemund (Author)
  This book will teach you how to do data science with R: You’ll learn how to get your data into R, get it into the most useful structure, transform it and visualize.
• Datacamp
  This well-developed online resource contains videos/learning modules(approx. 4 hours each) specific to learning R, Python, SQL and other data analysis related software. It is free to faculty and their students to use, there’s just a request process to follow to gain access each semester. More detailed instructions are linked here.
• CTL facilitates a data analysis learning community for faculty which by design connects faculty across disciplines who are interested in exploring social and racial equity topics within their courses; the community also serves as an ongoing peer-to-peer support structure to expand campus experiences with open source data tools. Contact cteachlearn@worcester.edu for information.