STAT_V 301 - 102

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 201 and one of MATH 100, MATH 102, MATH 104, MATH 110, MATH 120, MATH 180, MATH 184, SCIE 001.

Section
STAT_V 301 -102
Campus
Vancouver
Delivery Mode
In person
Term
2025-26 Winter Term 2 (UBC-V)
Instructional Format
Lecture
Credits
3.00
Start Date
End Date
Days
Monday, Wednesday
Start Time
04:00 pm
End Time
05:30 pm
Instructor(s)
  • Gabriela Cohen Freue

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Vancouver, BC Canada V6T 1Z4

Okanagan Campus
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