With the explosion of data available at one’s fingertips, there is a growing need to transform raw data into meaningful information that can be used by decision makers.
Epidemiology research can produce a lot of data— how that data is analyzed can be the key to creating impactful health interventions.
This course introduces students to statistical computing with focus on the SAS package. Emphasis is on manipulating data sets and basic statistical procedures such as t-tests, chi-square tests, and correlation.
Explore the art and science of developing compelling data visualizations and how to apply best practices in your own presentations, reports, and more.
Explore how data driven decisions can increase Value for Money to help reach program targets in international development.