340.608.79
Using Big Data for Epidemiologic Research in Health Care
Location
Internet
Term
Summer Institute
Department
Epidemiology
Credit(s)
0.5
Academic Year
2025 - 2026
Instruction Method
Synchronous Online
Tuesday, 8:30am - 12:00pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Resources
How can we leverage big data to solve real problems in public health? The aim is to inspire public health professionals to measure and interrogate big data sources to improve the health of the population.
Demonstrates a practical approach to big data: where to find it, how to store and analyze it, and why to use it. Provides a technical overview of the utilization of big data with the inclusion of several case examples and inclusion of industry leaders in the application of big data to health care.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Define big data
- Identify sources of big data
- Enumerate common methods for analysis of big data
- Describe potential pitfalls of big data analyses
- Form clinical questions that might be answered by big data
Methods of Assessment
This course is evaluated as follows:
- 50% Participation
- 50% Discussion