HK 416

fall 2025

All Classes

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 in Fall 2025 for:

Quantitative Reasoning II

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Detail	Status		CRN	Type	Section	Time	Day	Location	Instructor