Statistical Computing

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.

Featured Courses

All Courses

An Introduction to Epidemiologic Data Analysis: Excel to SAS

On Campus 20 Hours Registration closed
Taught By
Samantha Parker, PhD, Assistant Professor, Epidemiology, BUSPH

Epidemiology research can produce a lot of data— how that data is analyzed can be the key to creating impactful health interventions.

Introduction to SAS

On Campus 20 Hours Registration closed
Taught By
Jacqueline N. Milton, PhD, Clinical Assistant Professor, Biostatistics, BUSPH

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.

R Refresher

On Campus 13 Hours Registration closed

Taught by Jeremiah Perez

Refresh your knowledge and progress your career with this training on one of the most in-demand skills for data analysts.