Foundations of Clinical Data Science

With the advent of Electronic Health Records (EHR) there are more opportunities than ever to make a real impact on patient health and the science of medicine using data. However, clinical data has unique characteristics and structures that can make it both challenging and rewarding to use in analytics. In this course, students will gain understanding of clinical data collection, models, context, and caveats through lectures and hands-on activities. Students will then apply that knowledge to real clinical data and use Python and other tools to perform analyses and replicate findings from literature. Knowledge of SQL and Python are required.