Statistics
Statistical Modelling for Data Science
3 credits
Data analysis using statistical models and algorithms (e.g., linear and logistic regression, peeking, bandit, and variable selection algorithms) in case studies from different disciplines. Generative versus out-of-sample predictive models. Reproducible and transparent workflows for computer scripts and reports.
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Average
81.4%
Students
1251
Sections
10
Historical Averages
2021–2025
Lowest section avg
77.1%
Highest section avg
85.1%
Terms offered
7
Some grade ranges were withheld by UBC to protect student privacy and are not shown above.
Grade data from ubc-pair-grade-data.
| Section | Activity | Enrolled | Time | Instructor |
|---|---|---|---|---|
| 103 | Lecture | — | Tue 14:00-17:00, Thu 14:00-17:00 | Lang Wu |
| T1A | Discussion | — | Thu 12:30-13:30 | — |
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