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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
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Section Class Number Notes Instructor Enrollment Session Instruction Mode
001 8784 Spencer, Neil 14/45 Reg Online Asynchronous