PBHLT 7120 - Introduction to Statistical Learning

The course will provide graduate students with theory and application of Statistical Learning methods for data analysis. Statistical Learning refers to a set of techniques for understanding complex and messy datasets. In addition to simple and multivariable linear regression topics, techniques for supervised and unsupervised learning, data reduction, and classification will be introduced and strategies for evaluating estimate precision and estimation of classifier accuracy and model validity will be provided. The focus of the class will be applied with emphasis on using and understanding the results of statistical software in a Public Health context.