HK 416

Fall 2026 All Classes

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 2022 for:

Quantitative Reasoning II

My Favorites

My Schedule

Section Status updates every 10 minutes.

HK 416 class schedule data for fall 2026
	Status		CRN	Type	Section	Time	Day	Location	Instructor	Section Details
			79252	Lecture-Discussion	G1	9:30AM -10:50AM	TR	1100 Wymer Hall	Kang, H	Availability: CrossListOpen (Restricted) Part of Term: 1 Date Range: 08/24/26-12/09/26 Degree Notes: Quantitative Reasoning II course. Credit: 4 hours Restriction(s): Restricted to Graduate - Urbana-Champaign.
			79253	Lecture-Discussion	U1	9:30AM -10:50AM	TR	1100 Wymer Hall	Kang, H	Availability: CrossListOpen (Restricted) Part of Term: 1 Date Range: 08/24/26-12/09/26 Degree Notes: Quantitative Reasoning II course. Credit: 3 hours Section Info: Some seats are held for majors, but others are open to the public. Additional seats will be released on July 10. Please contact the Department with any questions. Restriction(s): Restricted to students with Junior or Senior class standing. Restricted to Undergrad - Urbana-Champaign.