STAT201 - Statistical Inference for Data Science
Course: STAT201 (Statistical Inference for Data Science) in STAT department at University of British Columbia.
Credit Hours: 0 • Academic Level: year 0 undergraduate course
Course Requirements: Requires 1 prerequisite course
Prerequisite Chain Depth: 1 level of foundational courses required
Future Opportunities: Unlocks 8 advanced courses for further study
Part of the STAT curriculum at University of British Columbia, helping students progress through degree requirements.
Prerequisites for STAT201
Courses unlocked by STAT201
- FRE430 - Spatial Data Science
- CPSC417 - Computer Networking
- STAT305 - Introduction to Statistical Inference
- DSCI320 - Visualization for Data Science
- STAT301 - Statistical Modelling for Data Science
- EOSC442 - Climate Measurement and Analysis
- CPSC444 - Advanced Methods for Human Computer Interaction
- NSCI210 - Research Design for the Neurosciences
Academic Planning at University of British Columbia
Students planning STAT201 at University of British Columbia should complete 1 prerequisite before enrollment.
Future Pathways: Completing STAT201 enables enrollment in 8 advanced courses, opening specialization opportunities in the STAT program.
This year 0 course at University of British Columbia integrates into structured degree pathways for STAT programs, supporting timely graduation and academic progression.