Schedule

Last updated on April 1, 2020

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.

Getting to Know R/RStudio Reading Assignment Class
April 9 Lecture/Lab 1: RStudio, Functions, Objects, and Data Types
Learning the Tidyverse Reading Assignment Class
April 16 Lecture/Lab 2: Loading Data, data.frames, and Visualization with ggplot2 Part 1
April 23 Drop in Lab time/Finish Notebook 2
April 24 Notebooks 1 and 2 due
April 30 Lecture/Lab 3: Visualization using ggplot2 part 2, Filtering, Sorting, and Selecting data using dplyr
May 7 Lecture/Lab 4: Mutating and Summarizing data using dplyr
May 14 Drop in Lab time/Finish Notebook 4
May 14 Notebooks 3 and 4 due
May 21 Lecture/Lab 5: Stats and Modeling Using broom
May 21 Final Project Assigned
Ted Laderas