This course introduces students to the art and science of data analysis and provides a set of statistical and econometric tools that are useful in managerial decision making. The primary focus of this course is on causal analysis. It is assumed that you have taken an introductory course in probability and statistics.
Topics include, but are not limited to: Probability Distributions, Hypothesis Testing, Linear Regressions, Propensity Score Matching, Binary Dependent Variables, Basic Machine Learning. Applications include, but are not limited to: Inventory Management, Assessment of a Marketing Campaign, Demand Estimation, Hospital Management, Investment Management.