Seminar in Data Science
This course serves as a requirement for the MPH concentration in Public Health Data Science. Proficiency in various skills is essential in the field of public health, including extracting, cleaning, analyzing, interpreting, and sharing information from various data sources. Students will utilize R/RStudio to complete assignments that involve statistical programming. Throughout this course, we will delve into relevant topics at the intersection of data science and public health. We will explore various methodologies and tools used to collect, analyze, interpret, and visualize public health data, placing strong emphasis on their practical application in real-world scenarios and common pitfalls encountered when working with such data. By the course's conclusion, students will expand upon fundamentals in data science in order to evaluate complex public health challenges, critique policies, and formulate solutions to improve population health outcomes.
Sources
- Course catalogue ↗2026–2027