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5410. Statistical Computing for Data Science
3.00 credits
Prerequisites:
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: 02-JAN-25 05.20.24.288918 AM
Enrollment Data | Section | Class Number | Notes | Instructor | Enrollment | Session | Instruction Mode |
---|---|---|---|---|---|---|---|
1248 8784 1 001 | 001 | 8784 | Spencer, Neil | 14/45 | Reg | Online Asynchronous |