Predictive Analytics --- This course introduces students to a supervised learning approach to building predictive models to inform managerial decision making. The class will build on a foundation of linear regression and logistic regression and extend to machine learning approaches such as decision trees, support vector machines, naive Baynes and neural networks. The course will address related issues such as bias-variance trade-offs (i.e. underfitting vs. overfitting models) and advanced techniques such as ensemble learning and reinforcement learning.