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