Public health and healthcare delivery is constantly inundated with data from sources, including clinical trials, observational and longitudinal studies, genomics, and more. Having a firm grasp of the statistical computing skill-set can help you analyze this information effectively, and translate the flow of data into meaningful information that can inform decisions to improve the health of populations.
Get a comprehensive introduction to the use of biostatistics in the field of public health, while learning to compute and interpret descriptive and inferential statistics using SAS JMP®.
Build your Excel “toolbox” of skills and learn best practices in data visualizations so that you can turn data into information and use graphs to communicate it effectively.
This program 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.
“Professor Hicks was excellent in her teaching of SAS. The examples were extremely helpful and it’s great that I have the data sets to practice on at home. The whole event was very organized” - Summer Institute Participant