STAT_V 201 - 201
Statistical Inference for Data Science
Classical and simulation-based techniques for estimation and hypothesis testing, including inference for means and proportions. Emphasis on case studies and real data sets, as well as reproducible and transparent workflows when writing computer scripts for analysis and reports. [3-0-1] Prerequisite: DSCI 100.
- Section
- STAT_V 201 -201
- 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
- 03:00 pm
- End Time
- 04:30 pm
- Instructor(s)
-
- Jonathan Agyeman