The course will discuss the use and importance of observational data, such as naturalistic real-world trials, patient registries, and health care claims. We will review issues involved in analyzing observational data (like selection bias or confounding) and common statistical solutions to those issues (e.g., propensity score matching). As a part of "hands-on" training experience, students will work with a subset of health claims data to gain experience in cleaning, managing and exporting data to statistical software.