Syllabus
Slides
Lecture 0: Overview
Lecture 1: Exploring Relationships
Lecture 2: Probability
Lecture 3: Random Variables and Probability Distributions
Lecture 4: Estimation
Lecture 5: Hypothesis Testing
Lecture 6: Statistical Inference for the Relationship Between Two Variables
Lecture 7: Analysis of Variance (ANOVA)
Lecture 8: Analysis of Categorical Variables
Lecture 9: Regression Analysis
Lecture 10: Clustering
Lecture 11: Bayesian Analysis
Lecture 12: Classification
Lecture 13: Linear Model Selection and Regularization