Syllabus
Office Hours
Notes
Assignments
Tutorials
Docs
Questions and Data
Notes
Questions and Data
Questions and Data
Understanding the World with Data
The Taxonomy of Data
Summarization
Summarization
Summarizing Categorical Data
Summarizing Numerical Data
A Grammar of Graphics
Conditioning
Summarizing Numerical Associations
Multiple Linear Regression
Generalization
Generalization
Probability Foundations
Computing Probabilities
Probability Distributions
Random Variables
Generalization
Expected Value and Variance
Continuous Distributions and Normal Approximations
From Samples to Populations
Confidence Intervals
Bootstrapping
Hypothesis Testing
Hypothesis Tests II
Wrong by Design
Causation
Defining Causality
Randomized Experiments
Causation
Causal Effects in Observational Studies
Using Time to Measure Causal Effects
Prediction
Prediction
The Method of Least Squares
Evaluating and Improving Predictions
Overfitting
Other Links
Slides
Questions and Data
Notes
Understanding the World with Data