Business Experiments and Causal Analytics

4-0-5 units · Undergraduate

Looks at predicting and understanding the causal effects of decisions across finance, marketing, human resources, and general business strategy. Develops a toolkit to go beyond correlations and get to causality. Students gain a deeper understanding of designing experiments, modeling natural experiments using multivariate regression, instrumental-variable regression, and machine learning tools including regression trees, random forest, LASSO, and neural networks. Expectations and evaluation criteria differ for students taking graduate version; consult syllabus or instructor for specific details.