Archived video link now available for this webinar.
Data is a powerful tool with enormous potential to transform public health systems. This makes understanding data science processes — from data analysis, to analytics, machine learning, and more — a critical skill for today’s public health workforce.
In this webinar, developed in partnership between the Washington State Department of Health and the University of Washington School of Public Health, you will gain an understanding of data science principles and how they intersect with public health challenges. First, you will learn multiple definitions of data science and its priority areas. Then, you will discover how data science processes are applied through exploratory data analysis, predictive analysis, and more. Finally, you will learn how working with complex data enables you to gain actionable insights for today’s public health realities.
Audience
Public health practitioners who work with data
Presenters
Stephen Elston, PhD
Principal Consultant, Quantia Analytics LLC
Michelle Campbell, MSHI
Director, Center for Data Modernization and Informatics, Washington State Department of Health
Learning Objectives
- Define data science and its key priority areas
- Understand the steps in the data science process and its specific applications
- Identify how complex data provides greater insight to public health challenges
Slides
Introduction to Data Science for Public Health Webinar slides