In this course, you will learn about methodologies that support the successful data use to strengthen public health programs and policies. Experts from around the world will define and explain what population-level data is, introduce the data-generation-to-use cycle, and explain other considerations for successful data use for population health. You will also learn about how health services data can be used to inform population-level decision-making, and the application of a gender and equity lens towards these data systems to ensure they are responsive to the needs of populations. Our overarching goal for this course is to support and improve the use of data to inform policy.
Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.
The course is the result of a collaboration among multiple partners, including Vital Strategies, the Centers for Disease Control and Prevention (CDC) Foundation, the Johns Hopkins Bloomberg School of Public Health, and the World Health Organization. This course was funded by Bloomberg Philanthropies, with co-funding from the Australian government and Bill and Melinda Gates Foundation.
What you'll learn
- Examine methods to ensure that data can be used successfully to strengthen public health programs and policy
- Define and explain key concepts in the design and implementation of population-based surveys, including the use of emerging survey techniques
- Application of both health services data to inform population-level decisions and a gender and equity lens to ensure responsive data systems
Syllabus
Using Data to Advance Health
Building Capacity for Data Use
Making an Impact with Data
Data Use for Policy and Action
