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5410. Statistical Computing for Data Science
3.00 credits
Prerequisites: Open to graduate students in the MS in Data Science program, others with permission. Introductory course in mathematical and applied statistics; introductory course in programming.
Grading Basis: Graded
Principles and practice of statistical computing in data science: data structure, distributed computing and project management tools, data visualization, and data programming including simulation, resampling methods, and applications of optimization for statistical modeling, inference, and prediction. Formerly offered as STAT 5125.
Last Refreshed: 12-MAR-25 05.20.26.568082 AM
| Enrollment Data | Section | Class Number | Notes | Instructor | Enrollment | Session | Instruction Mode |
|---|---|---|---|---|---|---|---|
| 1258 9271 1 001 | 001 | 9271 | Spencer, Neil | 0/45 | Reg | Online Asynchronous |