STAT 302
Statistical Computing
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.
Topics
- programming fundamentals
- data cleaning
- data visualization
- debugging
- and version control
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗Current public catalogue; retrieved 2026-11-05