Statistical learning offers a variety of tools for tackling the vast and complex data sets that have emerged in fields ranging from engineering and computer science to biology and finance in the past twenty years. The course presents some of the most important modeling and prediction techniques. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more.