Schedule

Here’s your roadmap for the semester!

Readings should be completed before each class 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

Occasionally problem sets are due on the day of an exam.I’m so sorry! :(

Since problem sets are technically not due until midnight, and exams are done in class, this means those problem sets will be due after the exam. However, the problem sets are designed to help you with the exams, so it’s probably wise to do them before midnight on those days.

	Working with data	Reading	Assignment	Class
September 6 (I & II)	Data science, statistics, and public administration
September 13 (I & II)	Data visualization
September 20 (I & II)	Tidy data
September 27	Problem set 1
September 27 (I)	Exam 1 (example questions)
September 27 (II)	Data wrangling with the Tidyverse I
October 4 (I & II)	Data wrangling with the Tidyverse II
October 11	Problem set 2
	Modeling	Reading	Assignment	Class
October 11 (I & II)	Correlation and basic regression
October 18 (I & II)	Multiple regression
October 25	Problem set 3
October 26	EMPA IMPACT Night (6:00–8:00 PM)
October 25 (I & II)	Regression diagnostics and predictions
November 1	Problem set 4
November 1 (I)	Exam 2 (example questions)
	Inference	Reading	Assignment	Class
November 1 (II)	Sampling
November 8 (I & II)	Bootstrapping and confidence intervals
November 15 (I & II)	Hypothesis testing
November 15	Problem set 5
November 29	No class (in-class activity)
December 6	Problem set 6
December 6 (I & II; I)	Inference and regression + science communication
	Communication & beyond	Reading	Assignment	Class
December 7	Code-through due (this is a Friday)
December 13	Exam 3 (take-home) (example questions)
December 13 (I & II)	Wrapping up and going beyond the basics
	Final	Reading	Assignment	Class
December 19	Final project due (submit online by 11:59 PM)