Public Health Data Learning Center Webinars

Explore webinars produced by the Public Health Data Learning Center.


The Washington State Department of Health and the University of Washington’s Northwest Center for Public Health Practice jointly produce live webinars throughout the year. Below are links to the recordings of past webinars.

We want to hear from you! Do you have a public health data topic or interest you would like to see us tackle in a webinar? Let us know. Send your suggestions to DataModFeedback@doh.wa.gov.

Public Health Data Learning Center

Introduction to Data Science for Public Health

This webinar introduces data science principles and how they intersect with public health challenges to gain actionable insights. Presented April 26, 2023.

Webinar • 1.5 hours • Beginner

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Washington State Department of Health

Reframing Informatics for Public Health Panel Discussion

In this webinar, developed in partnership between the Washington State Department of Health and the University of Washington School of Public Health, learn how informatics is changing public health in Washington state.

Webinar • 1 hour • Beginner

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Washington State Department of Health

Storytelling with Data Webinar Series

Create compelling ways to communicate insights about public health data in the Storytelling with Data webinar series hosted by the Washington State Department of Health and IBM. The three sessions include lectures plus hands-on, practical activities.

Webinar • 1 hour • Beginner

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Public Health Data Learning Center

Using Novel Data to Expand the Public Health Practice Toolbox

This webinar describes a framework for finding novel data sources with an example of applying Medicaid data to public health surveillance. Presented May 23, 2023.

Webinar • 1.5 hours • Beginner

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Public Health Data Learning Center

Using Pandemic Data Modeling to Inform Public Health Decisions

This webinar presents the development of predictive modeling to provide actionable information for decision makers. Presented June 12, 2023.

Webinar • 1.5 hours • Beginner

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