Sunday July 15th
- 09:00 – 09:30 Registration
- 09:30 – 12:30
- Data maagement –packages and techniques to manipulate and maintain datasets (e.g. the packages readxl, sqldf, dplyr, spark)
- Advanced visualization techniques –high-density scatterplots, 3-D graphs, trellis plots, using Google maps in plots.
- 12:30 – 13:00 Lunch Break
- 13:00 – 16:00 Assignments
Monday July 16th
- 09:00 – 12:00
- Generalized linear models – normal response, count data (Poisson regression), binomial regression, over-dispersion.
- 12:00 – 13:00 Lunch Break
- 13:00 – 16:00 Assignments
Tuesday July 17th
- 09:00 – 12:00
- Classification methods – logistic regression, classification and regression trees (CART), random forest, support vector machines.
- 12:00 – 13:00 Lunch Break
- 13:00 – 16:00 Assignments
Wednesday July 18th
- 09:00 – 12:00
- Variable selection methods – Lasso, SCAD, MCP, Spike and Slab.
- Missing data methods – simple imputation, missing indicators, multiple imputation via chained equations (MICE).
- 12:00 – 13:00 Lunch Break
- 13:00 – 16:00 Assignments
Thursday July 19th
