Overview
What this challenge is about.
You analyze anonymized employee data for a gender pay gap at a Hamburg B2B SaaS scale-up, produce a regression report, and earn a verifiable certificate.
The scenario
The scale-up, 'CloudFlow GmbH', has grown rapidly and now has 200 employees across engineering, sales, and operations. It has a 60-40 male-female ratio, with women underrepresented in senior roles.
The Brief
What you'll do, and what you'll demonstrate.
Is there a statistically significant gender pay gap at CloudFlow after controlling for job-relevant characteristics, and what policies can close it?
Earning criteria — what you'll demonstrate
- Apply human capital theory and labor market discrimination models to a real dataset
- Conduct multivariate regression analysis to isolate gender effects on wages
- Use Blinder-Oaxaca decomposition to quantify explained vs unexplained gaps
- Develop evidence-based diversity and pay equity policies
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Aligned coursework coming soon.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Pay Gap Analysis
Apply pay gap analysis to solve real industry problems and demonstrate production-level capability.
- Regression Analysis
Apply regression analysis to solve real industry problems and demonstrate production-level capability.
- Blinder Oaxaca Decomposition
Apply blinder oaxaca decomposition to solve real industry problems and demonstrate production-level capability.
- Policy Recommendation
Apply policy recommendation to solve real industry problems and demonstrate production-level capability.
Careers
Career paths this challenge builds toward
Completing this challenge demonstrates skills that transfer directly to these roles: