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⇱ Gender Foundations in Health Data: A Data for Health Course | Coursera


Gender Foundations in Health Data: A Data for Health Course

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Gender Foundations in Health Data: A Data for Health Course

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Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
6 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
6 hours to complete
Flexible schedule
Learn at your own pace

There is 1 module in this course

Welcome to Gender Foundations in Health Data: A Data for Health course. This course was developed from an online seminar series of the same name, that was hosted by Johns Hopkins University Bloomberg School of Health in 2021-22. The course instructors are Drs. Michelle Kaufman and Tahilin Sanchez Karver.

This course will raise learners' awareness of the necessity of utilizing a gender lens in global public health data, policy, and practice, feature how-tos and key examples of integration of gender in data collection, analysis, and use from Data for Health partners Technical Specifications This course uses a third-party app called Articulate Rise to deliver the course materials. You will need to click-through a few screens (Articulate Rise, pop-up blockers) to enter and exit each Module. Please be sure to turn off pop-up blockers to access the materials. To post in the discussion forums, you will need to exit the Modules in Articulate Rise and go back to Coursera. Please feel free to reach out to teamgenderhealth@jh.edu with any questions, including technology concerns. We hope you have a good experience learning about gender integration in your health data work.

Welcome to Gender Foundations in Health Data. This course uses a third party app called Articulate Rise to deliver the course materials. You will need to click-through a few screens (Articulate Rise, pop-up blockers) to enter and exit each Module. To post in the discussion forums, you will need to exit the Modules in Articulate Rise and go back to Coursera. Please feel free to reach out to team@genderhealthdata.org with any questions, including technology concerns. We hope you have a good experience learning about gender integration in your health data work.

What's included

3 readings1 assignment5 app items

3 readingsβ€’Total 30 minutes
  • Pre-Course Survey (optional)β€’10 minutes
  • Pre-Course Infoβ€’10 minutes
  • Post-Course Survey (optional)β€’10 minutes
1 assignmentβ€’Total 30 minutes
  • Quiz for Certification β€’30 minutes
5 app itemsβ€’Total 300 minutes
  • Articulate Riseβ€’60 minutes
  • Articulate Riseβ€’60 minutes
  • Articulate Riseβ€’60 minutes
  • Articulate Riseβ€’60 minutes
  • Articulate Riseβ€’60 minutes

Instructors

Johns Hopkins University
1 Courseβ€’725 learners

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Frequently asked questions

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