DATA 3500
Statistical Programming in R
Modern coding practices in R including running simulations, workflows for common statistical models, retrieving diagnostics and model estimates, and presenting and visualizing results. Emphasis on modern, reproducible workflows and version control.
Topics
- running simulations
- workflows for common statistical models
- retrieving diagnostics and model estimates
- presenting and visualizing results
Course catalogue
Prerequisites & course information
Prerequisite(s): DATA 2500 . Lectures three hours a week, laboratory one hour a week.
Sources
- Course catalogue ↗2026–2027