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3255. Introduction to Data Science
3.00 credits
Prerequisites: MATH 1132Q, STAT 2255 or COGS 2500Q or ECON 3322, STAT 3115Q or 3215Q, or instructor consent
Grading Basis: Graded
Introduction to data science for effectively storing, processing, analyzing and making inferences from data. Topics include project management, data preparation, data visualization, statistical models, machine learning, distributed computing, and ethics.
Last Refreshed: 28-MAR-24 05.20.12.635703 AM
Term | Campus | Instruction Mode | Instructor | Section | Session | Schedule | Location | Enrollment | Notes | |
---|---|---|---|---|---|---|---|---|---|---|
1243 5888 1 001 | Spring 2024 | Storrs | In Person | Yan, Jun Mcclurg-Wong, Taelor |
001 | Reg | MoWe 2:30pm‑3:45pm |
AUST 313 | 19/35 | |
1248 8786 1 001 | Fall 2024 | Storrs | In Person | Yan, Jun | 001 | Reg | MoWe 1:25pm‑2:40pm |
AUST 445 | 17/35 |