- Review of data types and language essentials (data types, manipulating objects, looping and conditional execution) - Inferential statistics: t-Test, analysis of variance, linear regression models, testing model assumptions - Nonparametric techniques (Tests for independence in contingency tables, ANOVA on ranks) - Advanced graphics (splitting the output window, adding a legend and annotation for publication-ready graphics) - Generalized linear models, factor analysis and/or cluster analysis - Simulation using R