Introduces data analysis techniques commonly applied to empirical studies in healthcare. Equips students with the skills needed to proficiently describe, analyze, and draw meaningful insights from health-related data, leveraging statistical and other data analysis tools. In this course, we will utilize a diverse range of health data sets, enabling students to apply the data analysis techniques to real-world datasets and gain practical experience in the field.
Undergraduate Credit: 3 or 4 hours
Graduate Credit: 3 or 4 hours
Prerequisite: Quantitative Reasoning I course or equivalent.
Note: Formerly CHLH 421. This course satisfies the General Education Criteria for: Quantitative Reasoning II.
Course Department: Health and Kinesiology
Updated: April 4, 2026