Spring 2026
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5710. Data Mining for Data Science
3.00 credits
Prerequisites: CSE 5709; Open to graduate students in the M.S. in Data Science program. Recommended preparation: Python programming including open-source libraries: scikit-learn, Numpy, Matplotlib, introductory statistics
Grading Basis: Graded
This course presents an introduction to data mining algorithms in the areas of classification, association analysis, clustering, and anomaly detection, with an emphasis on a conceptual understanding these algorithms along with their application in real-world problems and domains.
Last Refreshed: 27-FEB-26 05.20.23.341674 AM
| Enrollment Data | Section | Class Number | Notes | Instructor | Enrollment | Session | Instruction Mode |
|---|---|---|---|---|---|---|---|
| 1263 5963 1 002 | 002 | 5963 | Johnson, Joseph | 33/40 | Reg | Online Asynchronous |