Overview
What this challenge is about.
Build a regression model to forecast SaaS subscription revenue and create a weekly sales dashboard. Earn a verifiable certificate.
The scenario
FlowMetrics offers a project management tool with 10,000 active users. They recently hired an enterprise sales team and need accurate revenue forecasts to manage cash flow.
The Brief
What you'll do, and what you'll demonstrate.
How can FlowMetrics improve short-term revenue forecasting by incorporating leading indicators from their PLG funnel?
Earning criteria — what you'll demonstrate
- Incorporate external regressors into time series models
- Evaluate forecast accuracy with business-relevant metrics (e.g., MAPE)
- Design a reproducible forecasting pipeline
- Communicate model outputs to a non-technical sales team
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Forecasting for Decision Making
Master · Methods
Strong alignment
This challenge maps to Forecasting for Decision Making at the Master level. It sharpens the same practical skills your coursework expects — but in a real industry context with actual constraints and deliverables.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
- Time Series Forecasting
Apply time series forecasting 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.
- Python
Write clean, efficient Python for data processing, automation, and backend services.
- Dashboarding
Apply dashboarding to solve real industry problems and demonstrate production-level capability.
- Saas Metrics
Apply saas metrics 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: