Introduction (5/1) Descriptive statistics, data visualization
Random variables and probability distributions (5/3, 5/8)
Parameter estimation (5/10)
Hypothesis testing (5/15, 5/17, 5/22)
Regression methods (5/24)
Bootstrapping, cross validation and permutation tests (5/29)
Assessing significance in high dimensional experiments (5/31)
Problem Set 1: Out 5/3. Due 5/10.
Problem Set 2: Out 5/10. Due 5/17.
Problem Set 3: Out 5/17. Due 5/22.
Problem Set 4: Out 5/22. Due 5/29.