HK 416: Applied Health Data Analysis

Course Description

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.