This course emphasizes the fundamentals of statistical learning & data mining & their applications with the least of mathematical details. Topics include methods of supervised: regression, classification, resampling methods, tree-based methods, and support vector machines. Some unsupervised learning methods are also covered. The methods are illustrated with real data examples