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. Prerequisite: either STAT 311, STAT 390, or Q SCI 381; recommended: previous coursework in R programming language.
Syllabus Downloads
Current Time Schedule
Autumn, 2022
| SLN/Section | Time | Location | Instructor |
|---|---|---|---|
|
21792 A Open |
M W F 4:30PM - 5:20PM |
MGH 044 |
Prince Allotey |
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