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STAT 5405: Applied Statistics for Data Science
Statistics essential for data science incorporating descriptive statistics; integrative numerical description and visualization of data; graphical methods for determining and comparing distributions of data; data-driven statistical inference of one-sample, two-sample, and k-sample problems; linear regression; non-linear regression; and dependent data models.
- Credits
- 3
- Offered
- Spring 2027, Fall 2026
- Campuses
- Storrs
- Requirements
- GRAD 5100, may be taken concurrently; Open only to MS Data Science students, others with instructor consent. Recommended preparation: An undergraduate course in statistics. Not open for credit to students who have passed BIST/STAT 5505 or BIST/STAT 5605.
Spring 2027 sections
Taught by Nalini Ravishanker.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | TBA | Nalini Ravishanker | Storrs | Online | 33 of 40 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.
Fall 2026 sections
Taught by Aditya Vikram Sett and Nalini Ravishanker.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 11:00AM - 12:15PM / TuTh | Aditya Vikram Sett, Nalini Ravishanker | Storrs | AUST 344 | 32 of 45 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.