Methods for exploring, analyzing and presenting data. Data organization, outlier identification, transformations. Data displays for grouped, bivariate, and time series data. Summary statistics for parametric and non-parametric data. Concept of standard errors and confidence intervals. Design of scientific tables, two-way tables. Participants learn how to generate publication-quality graphs and tables with open-source software packages.