Univariate data analysis: Recap of basic statistics (undergraduate level).
Supervised statistical learning: simple and multiple linear and nonlinear regression. ANOVA models.
Unsupervised statistical learning: principal component analysis (PCA), cluster analysis, mixture models.
Applied statistics: causal inference modeling, time series regression, risk modeling and prediction.