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.
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| January 11 |
Part 1: Introduction to course/expectations, Intro to R/RStudio, Functions, Vectors, Data Types |
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| January 18 |
Part 2: Loading Data, data.frames, and ggplot2 |
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| January 25 |
[NO CLASS, ASYNCHRONOUS VIDEOS] Part 3: dplyr: subsetting using filter()/select() |
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| February 1 |
Part 4. dplyr: mutate(),across(), case_when(), factors, ggplot2 boxplots, facets, scales |
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| February 8 |
Part 5. summarize() and group_by(), doing things with multiple tables (left_join() etc), reshaping data (i.e. pivot_longer()) |
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| February 8 |
Take Home Midterm Assigned |
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| February 12 |
Part 6. Intro to functions, working with lists |
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| February 19 |
Take home midterm due |
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| February 22 |
Part 7: Functions/batch processing/purrr |
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| March 1 |
Part 7: Functions/batch processing/`purrr |
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| March 8 |
Part 8. Intro to stats/formulas/broom/More Purrr |
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| March 13 |
Final Project Assigned |
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| March 15 |
Part 8. Intro to stats/formulas/broom/More Purrr |
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| March 22 |
No Class, Office Hour |
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| March 24 |
Final Project Due |
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