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ARE 5210: Data Science for Decision Making in Applied and Resource Economics
This course introduces data science and its transformative role in decision-making across business and policy applications in applied and resource economics. Students will learn to analyze and interpret data using R, with hands-on practice in visualization, A/B testing, regression analysis, and machine learning. Designed for beginners, it emphasizes intuitive approaches and practical applications, preparing students to apply data science in real-world contexts.
- Credits
- 3
- Offered
- Fall 2026
- Campuses
- Storrs
- Requirements
- Recommended preparation: Statistics, such as STAT 1000Q or STAT 1100Q or a similar course. Not open for credit to students who have passed ARE 4210.
Fall 2026 sections
Taught by Shinsuke Tanaka.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 12:30PM - 1:45PM / MoWe | Shinsuke Tanaka | Storrs | YNG 327 | 8 of 20 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.
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