Schedule

Here’s a tentative outline for the semester. It’s subject to change. There are up to three kinds of link each week.

  • Content (): These pages contain links to the readings and other material for each week. Read these before class. Lecture slide decks will also appear on these pages.

  • Example (): These pages contain annotated R code and other supplementary information that you can use as a reference for your assignments and projects. It is also where any impromptu stuff we do in class will end up.

  • Assignment (): These pages contain the instructions for each problem set. A problem set assigned in any given week is due by the end of the day the following Monday.

Subscribe to the class calendar

You can subscribe to this calendar URL in Outlook, Google Calendar, or Apple Calendar:

Download

Weekly Topics

Topic Content Examples Assignment
Week 0 Jan 8 No class (Weds schedule in effect)
Week 1 Jan 15 Looking at Data
Week 2 Jan 22 R and Rstudio
Week 3 Jan 29 Make a Graph
Week 4 Feb 5 Group and Summarize
Week 5 Feb 12 More dplyr and ggplot
Week 6 Feb 19 Making Maps
Week 7 Feb 26 Polishing Plots
Week 8 Mar 5 ggplot Case Studies
Week 9 Mar 12 Spring Break
Week 10 Mar 19 Scraping; APIs; Text as Data
Week 11 Mar 26 Ingesting Data; Iterating on it
Week 12 Apr 2
Week 13 Apr 9 Databases and ‘Big’ Data
Week 14 Apr 16 Parallel Computing