Academics
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- Department of Statistics
- Academics
- Undergraduate
- Undergraduate Courses
Undergraduate Courses
Lectures
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Labs, Seminars, Tutorials
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Course | Title | Course Outline | Instructor(s) |
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DSCI 100 | DSCI 100: Introduction to Data Science | ||
DSCI 310 | DSCI 310: Reproducible and Trustworthy Workflows for Data Science | ||
STAT 200 | STAT 200: Elementary Statistics for Applications | ||
STAT 201 | STAT 201: Statistical Inference for Data Science | ||
STAT 251 | STAT 251: Elementary Statistics | ||
STAT 300 | STAT 300: Intermediate Statistics for Applications | ||
STAT 301 | STAT 301: Statistical Modelling for Data Science | ||
STAT 302 | STAT 302: Introduction to Probability | ||
STAT 305 | STAT 305: Introduction to Statistical Inference | ||
STAT 306 | STAT 306: Finding Relationships in Data | ||
STAT 443 | STAT 443: Time Series and Forecasting | ||
STAT 447C | STAT 447C: BAYESIAN STATS | Alexandre Bouchard-Côté | |
STAT 450 | STAT 450: Case Studies in Statistics | ||
STAT 461 | STAT 461: Statistical Inference II |
Lectures
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Labs, Seminars, Tutorials
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