Spring 2026
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5405. Applied Statistics for Data Science
3.00 credits
Prerequisites: 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.
Grading Basis: Graded
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.
Last Refreshed: 27-FEB-26 05.20.23.341674 AM
| Enrollment Data | Section | Class Number | Notes | Instructor | Enrollment | Session | Instruction Mode |
|---|---|---|---|---|---|---|---|
| 1263 8762 1 001 | 001 | 8762 | Ravishanker, Nalini Kim, So |
21/40 | Reg | Online Asynchronous |