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STAT 5410: Statistical Computing for Data Science
Principles and practice of statistical computing in data science: data structure, distributed computing and project management tools, data visualization, and data programming including simulation, resampling methods, and applications of optimization for statistical modeling, inference, and prediction. Formerly offered as STAT 5125.
- Credits
- 3
- Offered
- Spring 2027, Fall 2026
- Campuses
- Storrs
- Requirements
- GRAD 5100 and STAT 5405; Open only to MS Data Science students, others with instructor consent.
Spring 2027 sections
Taught by Neil Spencer.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 11:00AM - 12:15PM / TuTh | Neil Spencer | Storrs | AUST 344 | 40 of 45 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.
Fall 2026 sections
Taught by Neil Spencer and Riyanka Bhowal.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | TBA | Neil Spencer, Riyanka Bhowal | Storrs | Online | 26 of 45 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.