Spring 2024
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5405. Applied Statistics for Data Science
3.00 credits
Prerequisites: Instructor consent and undergraduate course in statistics. Not open to students who have passed STAT 5505 or STAT 5605 or BIST 5505 or BIST 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: 01-MAY-24 05.20.15.803940 AM
| Enrollment Data | Section | Class Number | Notes | Instructor | Enrollment | Session | Instruction Mode |
|---|---|---|---|---|---|---|---|
| 1243 5883 1 001 | 001 | 5883 | Ravishanker, Nalini Guo, Jieyu Zhong, Kelin |
16/40 | Reg | Online Asynchronous |