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.
Data to Advance Population Health: Global Perspectives
Data to Advance Population Health: Global Perspectives
Instructors: Smisha Agarwal
Sponsored by Coursera Learning Team
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
Discuss frameworks to understand the data generation to use cycle
Explore strategies to strengthen organization culture around data use and to build capacity for data use
Examine methods to effectively present and communicate data for decision-making
Apply a gender and equity lens to data systems to ensure they are responsive to the needs of populations
Details to know
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Assessments
21 assignments
Taught in English
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There are 4 modules in this course
What's included
8 videos2 readings6 assignments3 discussion prompts
What's included
7 videos4 assignments2 discussion prompts
What's included
20 videos6 assignments1 discussion prompt
What's included
7 videos2 readings5 assignments1 discussion prompt
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