Schedule

Week	Topics
1	Course introduction, introduction to Python
2	Introduction to data analysis and visualization in Python
3	Simple linear regression, parameter estimation
4	Assessing the accuracy of the parameter estimates
5	Assessing the accuracy of the model
6	Confidence and prediction intervals
7	Introduction to multiple linear regression
8	Interactions, categorical predictors
9	Model diagnostics & evaluation
10	Overfitting, cross-validation
11	Logistic regression, classifier evaluation
12	Introduction to design of experiments
13	Comparing experiments, experiments with a single factor
14	Randomized design, blocking factors and common designs, Latin Squares design

The schedule and topics are tentative and subject to change.