Causal inference for business analytics students, focusing on regression analysis and the quasi-experimental methods of difference in differences, regression discontinuity, and instrumental variables. Each of these techniques is developed in the context of a formal framework for counterfactual thinking and compared with the experimental ideal of a randomized trial.