Applied Health Data Analysis credit: 3 or

4 Hours

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. 3 or 4 undergraduate hours. 3 or 4 graduate hours. Prerequisite: Quantitative Reasoning I course or equivalent. This course satisfies the General Education Criteria for: Quantitative Reasoning II