Course title
DSCI 100: Introduction to Data Science
DSCI 100: Introduction to Data Science
DSCI 310: Reproducible and Trustworthy Workflows for Data Science
STAT 200: Elementary Statistics for Applications
STAT 200: Elementary Statistics for Applications
STAT 201: Statistical Inference for Data Science
STAT 203: Statistical Methods
STAT 251: Elementary Statistics
STAT 251: Elementary Statistics
STAT 300: Intermediate Statistics for Applications
STAT 300: Intermediate Statistics for Applications
STAT 301: Statistical Modelling for Data Science
STAT 301: Statistical Modelling for Data Science
STAT 302: Introduction to Probability
STAT 302: Introduction to Probability
STAT 305:
STAT 305: Introduction to Statistical Inference
STAT 306: Finding Relationships in Data
STAT 306: Finding Relationships in Data
STAT 344: Sample Surveys
STAT 404: Design and Analysis of Experiments
STAT 406: Methods for Statistical Learning
STAT 443: Time Series and Forecasting
STAT 447C: BAYESIAN STATS
STAT 449A: Honours project (6 credits)
STAT 449B: Honours project (3 credits)
STAT 450: Case Studies in Statistics
STAT 460: Statistical Inference I
STAT 461: Statistical Inference II

STAT 301: Statistical Modelling for Data Science

Dates offered

Mon, 09/02/2024 - 08:00 - Fri, 12/06/2024 - 17:00

Session time: 2024 Winter

Course outline: syllabus_stat_301_w1_2024.pdf

Instructor(s):

Time	Mon	Tue	Wed	Thu	Fri
12:00		STAT 301 (Sec. 101) 12:30 to 14:00		STAT 301 (Sec. 101) 12:30 to 14:00

Time	Mon	Tue	Wed	Thu	Fri
17:00				STAT 301 (Sec. T1A) 17:00 to 18:00

Course Term