BIOE 276Data Science for Ecology and Evolutionary Biology
Practical introduction to the computational and statistical skills students in ecology and evolutionary biology need to know for working in our data-filled modern world. Topics include practices for reproducible science, scientific programming in R, and statistical reasoning with ecological and evolutionary data. The course is taught as a flipped classroom with extensive hands-on practice so that students leave with the critical skills to continue on their own. A final project consists of analysis of a real dataset.
Enrollment is restricted to graduate students.
Find a section and add it to your scheduleLive seat counts, time-conflict checks and the walk from your previous class.
When it runs
Winter 2026Open Winter 2026
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Laboratory | Mon Wed 3:25pm–5:00pm | Ocean Health 118 | M. L. Pinsky | Closed 44/40 |
Who teaches it
| Instructor | Rating | Difficulty | Would take again | Reviews |
|---|---|---|---|---|
| Malin Pinsky | 5.0 / 5 | 4.0 / 5 | 100% | 1 |
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