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Gender Foundations in Health Data: A Data for Health Course

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Gender Foundations in Health Data: A Data for Health Course

Instructors: Tahilin Sanchez Karver

Included with

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1 module

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

1 module

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

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

1 assignment

Taught in English

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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.

Module details

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.