EvdncBasdData Anlys in PopHlth

3 Credits · Level: Graduate

The class will focus on key concepts about evidence-based approaches in data science, including the analysis of population health datasets and the discussion of important case studies. Students will learn important principles for organizing and analyzing data, along with concepts and tools for reproducible research, for which they will gain hands-on experience with the R programming language. Students will then expand their understanding of study design and evidence-based medicine, discussing important literature in this area and where the field is going regarding innovative designs. Finally, there will be an emphasis on the understanding of "meta-research" or "research on research," focusing on the understanding of reproducibility and replicability.