STAT545
Syllabus
Syllabus: STAT 545 A (Part I)
Syllabus: STAT 545 B (Part II)
Notes (A)
Lecture 1A: Installation
Lecture 1B: Course Introduction and R
Lecture 2A: Reproducibility with RMarkdown
Lecture 2B: Version Control
Lecture 3: Data Manipulation with dplyr
Lecture 4: Data Visualization
Lecture 5: Tidy Data and the Tidyverse
Lecture 6A: Model Fitting
Lecture 6B: Factors
Lecture 7A: Reading and Writing Data
Lecture 7B: Tibble Joins
Notes (B)
Lecture 8A: Functions
Lecture 8b: Advanced Functions
Lecture 9: R Packages
Lecture 10: Dashboards with R Shiny
Slides
Worksheets
Collab Project
Collaborative Project: Deliverable 1
Collaborative Project: Deliverable 2
Mini Data Analysis
Mini Data Analysis: Deliverable 1
Mini Data Analysis: Deliverable 2
Assignments (Part B)
FAQ
On this page
STAT545A
STAT545B
Lecture Slides
STAT545A
Lecture 4 - Data Visualization Slides
Lecture 5 - Tidy Data Slides
Lecture 6A - Modelling Slides
Lecture 6B - Factors Slides
Lecture 7 (A and B) - Reading, Writing, and Joining Tibbles Slides
STAT545B
Lecture 8A - Functions
Lecture 8B - Advanced Functions
Lecture 9 - R Packages
Lecture 10 - Dashboards with R Shiny
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