Readings, lectures, and videos
Each class session has a set of required readings that you should complete before attempting the tutorials.
- Course Introduction
- Introduction to R and RStudio
- Data Visualization
- Data Wrangling
- Data Wrangling and Barplots
- Causality
- Randomized Experiments
- Observational Studies
- Summarizing Data
- Survey Sampling
- Bivariate Relationships and Functions
- Joining and Tidying Data
- Midterm Review and Prediction
- Regression
- Model Fit
- Multiple Regression and Categorical Predictors
- Sampling
- Sampling Distributions
- The Bootstrap
- More Confidence Intervals
- Hypothesis Testing
- Two-sample Hypothesis Testing
- Mathematical Models of Inference
- Mathematical Models for Hypothesis Testing
- Inference for Linear Regression