Here’s your roadmap for the quarter!
- Readings are supplemental to each lecture session
- Assignments are due by 11:59 PM on the day they are due
- Class materials (slides, in-class activities, etc.) will be added on the day of class
Please note that this schedule is tentative. I want us to learn concepts, rather than have a lot of material.
|
|
| January 5 |
Part 1: Introduction to course/expectations, Intro to R/RStudio, Functions, Vectors, Data Types |
|
|
|
| January 12 |
Part 2: Loading Data, data.frames, and ggplot2 |
|
|
|
| January 19 |
Part 3: dplyr: subsetting using filter()/select() |
|
|
|
| January 26 |
Part 4. dplyr: mutate(),across(), case_when(), factors, ggplot2 boxplots, facets, scales |
|
|
|
| February 2 |
Part 5. summarize() and group_by(), doing things with multiple tables (left_join() etc), reshaping data (i.e. pivot_longer()) |
|
|
|
| February 2 |
Take Home Midterm Assigned |
|
|
|
|
|
| February 9 |
Part 6. Intro to functions, working with lists |
|
|
|
| February 13 |
Take home midterm due |
|
|
|
| February 16 |
Part 7: Functions/batch processing/purrr |
|
|
|
| February 23 |
Part 8. More with factors, dates, strings. |
|
|
|
| March 3 |
Part 9. Intro to stats/formulas/broom/More Purrr |
|
|
|
| March 4 |
Final Project Assigned |
|
|
|
| March 9 |
Part 10. More Stats Stuff/Summary Tables |
|
|
|
| March 16 |
Part 11. Advanced Functions and Loose Ends |
|
|
|
| March 18 |
Final Project Due |
|
|
|