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NRE 5605: Environmental Data Analysis
Develop proficiency in fundamental data analytic techniques in the R scripting language commonly used in environmental science and engineering with applications spanning practice and research. Topics include: trend detection, numerical approaches to model fitting, cluster analysis, and introductory machine learning methods.
- Credits
- 3
- Offered
- Spring 2027
- Campuses
- Storrs
- Requirements
- Recommended preparation: a course in introductory linear algebra and introductory statistics.
Spring 2027 sections
Taught by James Knighton.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 11:00AM - 12:15PM / TuTh | James Knighton | Storrs | YNG 231 | 5 of 20 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.
More courses
All NRE courses (Natural Resources and the Environment) ยท All UConn subjects