Overview
What this challenge is about.
Analyze sales data for a Barcelona cosmetics brand, calculate reorder points and safety stock, then rank SKUs by stockout risk. Earn a verifiable certificate.
The scenario
Brillo Natural is a 3-year-old D2C brand with 50 employees, selling through Shopify. They have limited data infrastructure and need a low-cost, code-based solution.
The Brief
What you'll do, and what you'll demonstrate.
How can Glow Naturals use historical sales data to set inventory levels that minimize stockouts and overstock?
Earning criteria — what you'll demonstrate
- Write a Python script to load and clean structured data from a CSV file
- Apply basic statistical functions (mean, standard deviation) using standard libraries
- Implement a simple business logic (reorder point formula) in code
- Generate a formatted output (table) and interpret results for decision-making
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.
- Python
Write clean, efficient Python for data processing, automation, and backend services.
- Data Cleaning
Apply data cleaning to solve real industry problems and demonstrate production-level capability.
- Data Analysis
Analyze real datasets, build models, and communicate findings that drive decisions.
- Inventory Management
Apply inventory management to solve real industry problems and demonstrate production-level capability.
- Csv Processing
Apply csv processing 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: