Schedule

Last updated on February 22, 2021

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.

Part 1: tidyverse Basics Reading Assignment Class
January 6 Part 1: Introduction to course/expectations, Intro to R/RStudio, Functions, Vectors, Data Types
January 13 Part 2: Loading Data, data.frames, and ggplot2
January 20 Part 3: ggplot2, factors, boxplots, dplyr: subsetting using filter()/select()
January 27 Part 4. dplyr: mutate(), group_by()/summarize()/across
February 4 Part 5. More about manipulating factors (forcats)/doing things with multiple tables/functions()
Part 2: Intermediate Topics Reading Assignment Class
February 4 Take Home Midterm Assigned
February 10 Part 6. Lists/RMarkdown/Work on Midterm
February 12 Take home midterm due
February 17 Part 7: Functions/batch processing/purrr
February 24 Part 8. Intro to stats/formulas/broom/More Purrr
March 3 Part 9. tidymodels/Unsupervised Learning
March 3 Final Project Assigned
March 10 Part 10. tidymodels/Supervised Learning/Logistic Regression
March 19 Final Project Due

Ted Laderas