STAT_V 301 - T1B
Statistical Modelling for Data Science
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. [3-0-1] Prerequisite: STAT_V 201 and one of MATH_V 100, MATH_V 102, MATH_V 104, MATH_V 110, MATH_V 120, MATH_V 180, MATH_V 184, SCIE_V 001, MATH_O 100.
- Section
- STAT_V 301 -T1B
- Campus
- Vancouver
- Delivery Mode
- In person
- Term
- 2026-27 Winter Term 2 (UBC-V)
- Instructional Format
- Discussion
- Credits
- 3.00
- Start Date
- End Date
- Days
- Thursday
- Start Time
- 10:00 am
- End Time
- 11:00 am