In this course students will develop a data science tool kit they may use to investigate research questions. The methodological approaches students will be exposed to include linear regression, classification, resampling methods, linear model selection, tree-based methods, unsupervised learning, and network analysis. Ethical approaches to the use of data science are reviewed in this class.