ENVIRON 473
Statistical Modeling and Data Visualization in R
This course is a boot camp in statistical modeling and data visualization using the R computer language. Topics include basic R programming, data exploration, statistical modeling, forma model comparison, parameter estimation and interpretation, and the visual display of quantitative information.
Topics
- basic R programming
- data exploration
- statistical modeling
- forma model comparison
- parameter estimation and interpretation
- and the visual display of quantitative information
Topics explicitly listed in official catalogue description
Prerequisites & course information
Basic knowledge of statistics (e.g., linear regression). Some prior experience with R is advisable, but not required. (4). (BS). (QR/1). May not be repeated for credit. Rackham credit requires additional work.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Statistical Modeling and Data Visualization in R · 4 · Graduate credit
- Statistical Modeling and Data Visualization in R · 4 · Undergraduate credit