This course is for managers who want to better understand empirical arguments in the healthcare industry. Students will become familiar with basic tools of modern data science through hands-on experience and will learn how to use analytics and data to address decisions faced by healthcare firms. Data-driven analyses require going beyond statistically significant relationships to assess cause and effect. This course extends regression analysis to answer causal questions. The most important tool we will develop is the ability to be a good consumer of arguments made with data. Within healthcare, firms frequently make claims about the impact of various initiatives. In this course, we will spend substantial time evaluating those claims. Will value-based care lower costs? Will firms be able to capture some of the incremental value created? Will investing in quality improve outcomes or firm profits? Will advertising increase firm profits?