Schedule

You can find the schedule for the semester here. Below is the complete list of titles, assignemts & due dates, homeworks and links to the “Materials” for each week - the videos and slides of the lectures included.

Week	Date	Title	Goal	Assignment	Homeworks	Materials
1	Aug 25	Introduction	Scientific method, camps of analysis	PS0	HW1
2	Sep 1	Introduction to R	Objects, functions, and coding		HW2
3	Sep 8	Data Visualization	Visualizing data		HW3
4	Sep 15	Data Wrangling	Replicability and tabular data	PS1	HW4
5	Sep 22	Univariate and Multivariate Analysis	Conditional relationships		HW5
6	Sep 29	Multivariate 2	More conditional relationships		HW6
7	Oct 6	Uncertainty 1	Uncertainty and bootstrapping	PS2	HW7
--	Oct 13	Fall Break
8	Oct 20	Uncertainty 2	Confidence statements		HW8
9	Oct 27	Regression 1	Interpreting output and evaluating model	PS3	HW9
10	Nov 3	Regression 2	Interpreting output and evaluating model		HW10
11	Nov 10	Regression 3	Multiple regression, categorical Xs	PS4	HW11
12	Nov 17	Classification 1	The concept of logistic regression		HW12
13	Nov 24	Classification 2	Interpreting output and evaluating model		HW13
14	Dec 1	Clustering	k-means clustering	PS5	HW14
15	Dec 8	Final project presentations
16	Dec 16	Final papers due