Schedule

• Content (): contain links to the optional readings for each week. Lecture slide decks will also appear here.

• Assignment (): contain the instructions for each assignment. Due dates and submission links will appear on Canvas.

• Example (): These pages contain examples of data analysis in R. It is also where any impromptu stuff we do in class will end up.

		Topic	Content	Example	Assignment
Week 01	Sep 25	Hello
Week 02	Sep 30 / Oct 2	Data visualization
Week 03	Oct 7 / Oct 9	Data wrangling
Week 04	Oct 14 / Oct 16	Relationships
Week 05	Oct 21 / Oct 23	Modeling
	Oct 28	Midterm exam, in class
Week 06	Oct 28 / Oct 30	Prediction
Week 07	Nov 4 / Nov 6	Causality
Week 08	Nov 13	DAGs
Week 09	Nov 18 / Nov 20	Natural experiments
Week 10	Nov 25	Uncertainty
Week 11	Dec 2 / Dec 4	Hypothesis testing
	Dec 10	Final exam, in class 10:30:00