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.

Related Programs

Essentials of Biostatistics with SAS JMP® (WI 22)

Online 40 Hours Begins January 10, 2022
Taught By
Lisa Sullivan, PhD, Associate Dean for Education, Professor of Biostatistics, BUSPH

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®.

From Data to Dashboards: Using Excel to support health program decisions (WI 22)

Online 30 Hours Begins January 10, 2022 Registration Closed
Taught By
Elizabeth Lewis, MBA, Lead Analyst, Boston Health Care for the Homeless Program | Adjunct Assistant Professor, BUSPH

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.

Introduction to SAS (SI 19)

On Campus 20 Hours June 17-19, 2019 Registration Closed
Taught By
Carly Milliren, MPH, Teaching Professional, Biostatistics, BUSPH

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.

Featured Instructor

“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

Jaqueline Hicks, PhD
Clinical Assistant Professor, Biostatistics, BUSPH