EEB 429
Introduction to Statistical Model Building in R
This course is focused on the fundamental elements of data analysis in the fields of ecology and evolutionary biology. Students learn how to interpret and model biological data with modern methods for estimation and inference using the R computing language.
Prerequisites & course information
BIOLOGY 171, 172 (or 174), & 173 (or 196); or BIOLOGY 192 & 173 (or 196); or BIOLOGY 195 & 173 (or 196); or graduate student standing. (Prerequisites enforced at registration.) STATS 250 or BIOLOGY 202 or BIOLOGY 131/BIOPHYS 117/COMPFOR 131. (4). (BS). (QR/1). May not be repeated for credit.
Sources
- Course catalogue ↗2026-2027
- Catalogue entry ↗
Catalogue variants
- Introduction to Statistical Model Building in R · 4 · Graduate credit