I developed these resources to provide an introduction to data analysis and visualization in R. I taught these modules as part of Texas A&M University’s 2022 Open Source for Open Sciene (OSOS) Workshop, a free, weekend-long event focused on providing new R users with hands-on experience with R through live-coding demos and interactive exercises.
These materials draw on the resources available from Data Carpentry, as well as an excellent Intro to R course taught by Dai Shizuka at the University of Nebraska-Lincoln (that’s where I learned R myself!).
I plan to add additional modules in the future, and I look forward to developing this into my own Intro to R course soon.