Course schedule

Note this is tentative!
Week Date Module Topic
1 2025-01-20 1 MLK Day
2025-01-22 1 Course introduction
2025-01-24 1 Working in RStudio
2 2025-01-27 1 Coding basics
2025-01-29 1 Workflows
2025-01-31 1 Literate programming
3 2025-02-03 2 Data types
2025-02-05 2 Data structures
2025-02-07 2 Importing data
4 2025-02-10 2 Validating data
2025-02-12 3 Selecting columns
2025-02-14 3 Mutating columns
5 2025-02-17 3 Piping commands
2025-02-19 3 Filtering rows
2025-02-21 3 Summarizing rows
6 2025-02-24 4 Pivoting data
2025-02-26 4 Separating data
2025-02-28 4 Merging columns
7 2025-03-03 4 Merging rows
2025-03-05 5 Numbers
2025-03-07 5 Strings
8 2025-03-10 5 Matching patterns
2025-03-12 5 Factors
2025-03-14 5 Project workday
9 2025-03-17 Spring break
2025-03-19 Spring break
2025-03-21 Spring break
10 2025-03-24 6 Functions
2025-03-26 6 Iteration
2025-03-28 7 Grammar of graphics I
11 2025-03-31 7 Grammar of graphics II
2025-04-02 7 Design and themes
2025-04-04 7 Color
12 2025-04-07 8 Plotting distributions: histograms
2025-04-09 8 Plotting distributions: boxplots
2025-04-11 8 Plotting amounts: bar charts
13 2025-04-14 8 Plotting x-y data: associations
2025-04-16 8 Plotting x-y data: time series
2025-04-18 8 Plotting x-y data: categories
14 2025-04-21 9 Adjusting axes
2025-04-23 9 Annotating plots
2025-04-25 9 Dealing with overlap
15 2025-04-28 9 Plotting challenge
2025-04-30 10 Tables
2025-05-02 10 Publications
16 2025-05-05 10 Advanced R Markdown
2025-05-07 11 Statistics I
2025-05-09 11 Statistics II