Schedule

Here’s your roadmap for the semester!

  • Content (): This page contains the readings, slides, and recorded lectures for the topic. Read and watch these first.

  • Lesson (): This page contains an interactive lesson that teaches you the principles and code you need to know. Go through these after doing the content.

  • Example (): This page contains fully annotated R code that you can use as a reference for creating your own visualizations. This is only a reference page—you don’t have to necessarily do anything here. Each section also contains videos of me live coding the examples so you can see what it looks like to work with R in real time. This page will be very helpful as you work on your assignments.

  • Assignment (): This page contains the instructions for either the session exercise (1–3 brief tasks), or for the two mini projects and final project. Assignments are due by 11:59 PM on the Monday after their corresponding sessions. That’s confusing in sentence form—see the schedule table below to see how it works.

tl;dr: You should follow this general process for each session:

  • Do everything on the content page ()
  • Work through the lesson page ()
  • Complete the assignment () while referencing the example ()
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Foundations

Title Content Lesson Example Assignment
April 14–April 20
(Session 1) 		Course introduction, data types, R and RStudio  (submit by 11:59 PM)
April 21–April 27
(Session 2) 		R basics 1: Vectors, data frames, lists, basic scripts  (submit by 11:59 PM)
April 28–May 4
(Session 3) 		R basics 2: Data visualisation  (submit by 11:59 PM)

Core concepts

Title Content Lesson Example Assignment
May 12–May 18
(Session 4) 		Sampling and probability  (submit by 11:59 PM)
May 19–May 25
(Session 5) 		Visualising probability  (submit by 11:59 PM)
May 26–June 1
(Session 6) 		Manipulating data 1: Data project intro  (submit by 11:59 PM)
June 2–June 8
(Session 7) 		Manipulating data 2  (submit by 11:59 PM)
June 9–June 15
(Session 8) 		Variable associations 1  (submit by 11:59 PM)
June 16–June 22
(Session 9) 		Variable associations 2  (submit by 11:59 PM)

Advanced topics

Title Content Lesson Example Assignment
June 23–June 29
(Session 10) 		Regression modelling 1  (submit by 11:59 PM)
June 30–July 6
(Session 11) 		Regression modelling 2  (submit by 11:59 PM)
July 7–July 13
(Session 12) 		Text as data  (submit by 11:59 PM)

Project

Title Content Lesson Example Assignment
July 14–July 14 Data project completion and course review
project/final-project,