Statistical learning refers to a set of tools for modeling and understanding complex datasets. It is a recently developed area in statistics and blends with parallel developments in computer sciences and machine learning. The field encompasses many methods such as the regularized regression, classification, graphic models, and approximation inference. This course is appropriate for master's students and advanced undergraduates who wish to use statistical learning and machine learning tools to analyze their data.