Reading
- Please read Open Intro 5.1 and 5.3
Info
- The midterm is scheduled for 2020-10-26
Todo
- Pick a team mate and a topic for your final project
In Population Health Data Science I (PHDS-I) students will spend the semester learning the fundamentals of probability theory, univariate statistics, statistical computing, and machine learning. A mix of traditional and experiential learning will focus on how to build an analysis pipeline to answer pressing questions in population health. In-class examples and projects will use real data sets. Examples include: comparing cardiovascular interventions in clinical trials, evaluating the incidence of influenza in the United States, and visualizing international health expenditures and burdens. Students will propose a small data-driven project focused in population health, and use their newly-acquired data science skills to collect, analyze, and present their work.