Course Schedule

This page displays an outline of the topics, content, and assignments for the semester. Links, to slides, assignments and course resources will go live as the semester progresses.

Week	Date	Topic	Reading	Video	Module	Assignment	Due Date
1	Mon, May 19	Getting started	📖 📖	📺 📺	📒
	Tue, May 20	Meet ouR tech stack	📖	📺	📒
	Wed, May 21	R Coding basics	📖	📺 📺	📒	📘	Wed, May 21
	Thu, May 22	Intro to the Tidyverse	📖	📺	📒
	Fri, May 23	Grammar of graphics	📖 📖	📺 📺	📒
	Sat, May 24	Advanced data viz techniques	📖	📺 📺	📒	📘 🧮	Sun, May 25
2	Mon, May 26	What is tidy data?	📖	📺	📒
	Tue, May 27	Transforming data	📖	📺	📒
	Wed, May 28	Summarizing data	📖	📺	📒	📘	Wed, May 28
	Thu, May 29	Joining data frames	📖	📺	📒
	Fri, May 30	Tidying data	📖		📒
	Sat, May 31	Cleaning data	📖	📺 📺 📺	📒	📘 🧮	Sun, Jun 1
3	Mon, Jun 2	Categorical data	📖	📺	📒
	Tue, Jun 3	Continuous data	📖	📺	📒
	Wed, Jun 4	Describing Distributions	📖		📒	📘	Wed, Jun 4
	Thu, Jun 5	Sampling and uncertainty	📖	📺	📒
	Fri, Jun 6	Single proportion tests	📖	📺	📒
	Sat, Jun 7	Relationship between two variables	📖	📺	📒	📘 🧮	Sun, Jun 8
4	Mon, Jun 9	The language of models			📒
	Tue, Jun 10	Interpreting linear models	📖	📺	📒
	Wed, Jun 11	Estimation and line fitting			📒	📘	Wed, Jun 11
	Thu, Jun 12	Multiple regression	📖	📺	📒
	Fri, Jun 13	Assumptions, EDA and diagnostics			📒
	Sat, Jun 14	Feature engineering			📒	📘 🧮	Sun, Jun 15
5	Mon, Jun 16	Why logistic regression?	📖	📺	📒
	Tue, Jun 17	The logistic regression model	📖 📖	📺	📒
	Wed, Jun 18	Interpreting results		📺	📒	📘	Wed, Jun 18
	Thu, Jun 19	Prediction and overfitting			📒
	Fri, Jun 20	Model evaluation			📒
	Sat, Jun 21	Multiple predictors, interactions and diagnostics	📖		📒	📘 🧮	Sun, Jun 22
6	Mon, Jun 23	Final Project			📒	✍️	Mon, Jun 23
	Tue, Jun 24	Final Project			📒
	Wed, Jun 25	Final Project				✍️	Wed, Jun 25
	Thu, Jun 26	Final Project
	Fri, Jun 27	Final project
	Sat, Jun 28	Final project				✍️	Sat, Jun 28