Introductory Data Science for Public Health.

Catalog description

Semester course; 3 lecture and 2 lab hours. 4 credits. Prerequisite: MATH 131 , MATH 139 , MATH 141 , MATH 151 or MATH 200 or a satisfactory score on the VCU Mathematics Placement Test. The course introduces key concepts, tools and applications of data science in public health. Students will learn to acquire, manage, analyze and visualize health data using point-and-click statistical software such as SPSS. Emphasis is placed on interpretation of results, with examples drawn from public health and clinical research. The course provides foundational applied statistical training, preparing students for more advanced, programming-based analysis in subsequent courses.