Gender Data 101

Gender data is crucial for understanding and addressing social and economic disparities. By considering gender as a key variable in data analysis, it is possible to identify patterns and disparities that may not be visible otherwise. For example. according to a World Bank report on female labor force participation, the global labor force participation rate for women is just over 50% compared to 80% for men. Analyzing gender data can lead to a deeper understanding of the root causes of inequality and inform the development of targeted and effective policies and programs. To support this gender-centered approach, data.org is sponsoring the third offering of the Gender Data 101 course with gender and social impact experts. This course will further support the building of a growing coalition of data practitioners who are informed and empowered to apply a gender dimension to their work. The course delves into best practices, methodologies, and tools to utilize when working with gender data and ends with actionable steps to employ gender data to create impactful programs. The course will go live on the TechChange platform on Monday, February 6 and has limited seats available. Registration is open until Tuesday January 31. We encourage you to REGISTER TODAY!

Databit helped take the Gender Data 101 data training to the next level by partnering with data.org to design a case study based on open-source gender data from The World Bank Data Bank. The case study aims to teach learners advanced data analysis skills through programming languages, like SQL and Python, and to apply those data skills with a gender lens to catalyze more gender-informed outcomes. SQL and Python are both important programming skills for data analysis because they provide powerful tools for working with and analyzing large and complex data sets.

The mind map below shows how the case study helps learners apply data analysis skills to gender data:

This unique case study-based approach provides a practical and engaging way for learners to develop the skills needed to analyze data with a gender lens. By exploring real-world examples, learners can gain a deeper understanding of the complexities of gender inequality and the various factors that contribute to it. This approach also helps learners understand the root cause of the problem by analyzing development indicators across different verticals, like demographics, education, health, labor, finance, and others. For example, analyzing healthcare data with a gender lens can reveal the ways in which women's health needs are or are not being met, or how their experiences with the healthcare system differ from men’s. Similarly, analyzing employment data with a gender lens can reveal the distribution of women's employment in different industries.

The five-week-long course is designed for gender advisors, data practitioners who wish to learn data analysis skills, and international development and policy professionals who wish to design policies and programs that are more inclusive and equitable. Please don’t forget to register for the course at this link and let us know what you think about the course!