Tutorials and other learning materials created by Research Computing and Data Services team members.
More coming soon!
Tutorials
- How to Choose a Color Scheme for Your Scientific Image
- Plotting Geospatial Data with Python
- Downloading Satellite Images Made “Easy” (Python)
- Creating Indicator Variables from Multiple Response Survey Questions (R)
- Working with R and Word
- Six Tips for Growing Your Coding Skills at Any Level
Software Setup
Installing and setting up software used in our workshops.
- Setting Up Git and GitHub with R and RStudio
- Using git with RStudio: Git with RStudio: Order Matters
- Installing or Accessing R and RStudio
- Downloading Files from GitHub (without Git)
Workshop Materials
While some of our workshop materials need live instruction or the video recording for context, others are suitable for self-study or reference without additional context.
- Tidyverse (R)
- Using Git in RStudio for version control (R)
- Linear mixed effects models in lme4 (R)
- Debugging tools (R)
- Managing file paths in pathlib (Python)
- Opening files from URLs (Python)
- Saving and using your custom functions (Python)
- Creating your own object classes (Python)
- Introduction to SQL and databases (SQL, R, and Python)