Foundations of Public Health Data Science

Prerequisites: one undergraduate introductory course in statistics and biostatistics This course provides an introduction to the practical skills and foundational concepts of public health data science. It offers a broad overview of key analytical techniques, such as regression, classification, clustering, and network analysis, within the context of real-world public health research. Students will gain a conceptual understanding of how data science informs public health decisions, how to manage and prepare data, and how to identify appropriate analytic methods for different types of data problems.