As data is collected from more and more sources and
across life areas, the applications for using big data for public health
purposes are growing. This class will focus on the use of large data
sets, specifically claims data and other national survey sources, and
provide an overview of structuring data, selecting optimal analytic
approaches, and display results in compelling data visualization
formats.
The class will be taught in SAS, though other statistical
software is possible. Tableau will also be used (free trials are
available).
After completing this course, participants will be able to:
- Identify large data set sources
- Describe methods for cleaning and structuring data for use
- Outline methods for identifying data analysis opportunities
- Review data visualization strategies to maximize reach and impact
Prerequisite knowledge: Prior experience in SAS, SPSS,
STATA, R, or other statistical coding software is required for this
course.
Instructor: Lindsay Shea, DrPH, MS, director, Policy and Analytics Center, assistant professor, A.J. Drexel Autism Institute, Drexel University; Kate Verstreate, MPH, data analyst, Policy and Analytics Center, A.J. Drexel Autism Institute, Drexel University
