Big Data, Better Decisions

3 credits · Graduate

Introduction to advanced methods for data driven decision making in business. This course covers methods designed to provide evidence for two types of fundamental business issues: (i) forecasting and (ii) evaluating alternative possible strategies. The course aims to train business leaders to understand the value of data-based decision making, evaluate analytics tools and products, and conduct richer analysis of randomized and naturally occurring experiments. Topics include designing randomized controlled trials in the field, evaluating natural experiments, and machine learning tools for forecasting. The goal of the course is not to train you as a Data Scientist but to be able to read and evaluate empirical/analytic approaches and products.