Technical Data Skills

Explore training focused on working with public health data.


Topics include big data, machine learning, data modeling, and more.

Training links will take you to other websites. Most training requires registration on these sites. All training listed below is free.

Region II Public Health Training Center

Data Science and Predictive Models in Public Health

This webinar defines data science in the context of public health and illustrates the strengths, weaknesses, and practical applications of predictive models in public health.

Webinar • 1 hour • Beginner

Go to Training

Duke University School of Medicine

Data Analytics for Health: Utilizing Large Social Media Data

This webinar provides an example of data science applied in public health research, using natural language processing (NLP) to identify health changes from social media data.

Webinar • 1 hour • Intermediate

Go to Training

Duke University School of Nursing

Encoding Useful Information from Clinical Free-Texts Using Natural Language Processing

This webinar provides an example of data science used in public health research, using natural language processing (NLP) to find useful insights from clinical chart notes.

Webinar • 1 hour • Intermediate

Go to Training

Duke University School of Nursing

Predicting Inpatient Deterioration: From Quality Improvement to Research

This webinar describes an application of data science analytics to public health, using data from electronic health records (EHRs) to predict patient mortality.

Webinar • 1 hour • Intermediate

Go to Training

Washington State Department of Health

Washington State Public Health Law and Policy Review for Data Sharing

Recognizing the need for better understanding of laws that apply to sharing public health data, Washington State Department of Health contracted with the Center for Public Health Law and Policy at Arizona State University to conduct a review of all state laws and policies that impact data sharing. Learn about these findings and resulting recommendations in this informative webinar.

Webinar • 1 hour • Intermediate

Go to Training