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Advanced R for Data Science STAT 360 (2)
Advanced R programming methods for data science. Tools for reproducible research. Version control. Data structures, subsetting, functions, environments, and debugging. Functional programming. Code performance: profiling, memory, integrating R and C++. Prerequisite: One of STAT 260 or STAT 341 and one of STAT 302, STAT 305, STAT 350, or ECON 333, all with a minimum grade of C-. CMPT 125 or CMPT 129 is also recommended. Corequisite: STAT 361.
| Section | Instructor | Day/Time | Location |
|---|---|---|---|
|
Brad McNeney |
Jan 10 – Apr 11, 2022: Tue, 2:30–4:20 p.m.
|
Burnaby |