STAT 302
Statistical Computing
3.0 credits
Course Description
An introduction to the foundations of statistical computing and data analysis. Topics include programming fundamentals, data cleaning, data visualization, debugging, and version control. Topics are motivated by methods in statistics and machine learning. Taught using the R programming language. Course overlaps with: B BUS 301. Prerequisite: either STAT 290, STAT 311, STAT 390, STAT 391, or Q SCI 381; recommended: experience with R programming language. Offered: AWSpS.
Syllabus Downloads
Current Time Schedule
Summer, 2025
| SLN/Section | Time | Location | Instructor |
|---|---|---|---|
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13472 A Open |
M W 1:10PM - 2:50PM |
MLR 316 |
Xingyu Wang |
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STAT 302A IS FULLY SYNCHRONOUS ONLINE. --- PLEASE SUBSCRIBE TO UW NOTIFY IF YOU WOULD LIKE TO GET SEAT ALERTS FROM THE UNIVERSITY. PLEASE CONTINUE TO USE UW NOTIFY BEFORE AND AFTER QUARTER STARTS. CONTACT INSTRUCTOR FOR ADD CODE. INSTRUCTOR'S NAME WILL BE POSTED A WEEK BEFORE QUARTER STARTS.
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