Overview
What this challenge is about.
Clean ad data, run A/B tests, and build a regression model for a Munich cosmetics brand. Earn a verifiable certificate.
The scenario
GlowMunich is a direct-to-consumer cosmetics brand founded in 2021, targeting eco-conscious women aged 20-35 in Germany. They have a strong social media presence but limited marketing analytics capabilities.
The Brief
What you'll do, and what you'll demonstrate.
How should GlowBerlin reallocate its monthly €50,000 ad budget across audience segments and creative types to maximize ROI?
Earning criteria — what you'll demonstrate
- Apply A/B testing methodology to compare ad creative performance
- Build and interpret a linear regression model for conversion prediction
- Use data-driven insights to inform marketing budget allocation
- Communicate analytical findings to a non-technical audience
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.
- A B Testing
Apply a b testing 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.
- Data Cleaning
Apply data cleaning to solve real industry problems and demonstrate production-level capability.
- Data Visualization
Transform complex data into clear, insightful visual representations.
- Budget Optimization
Apply budget optimization 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: