Overview
What this challenge is about.
Collect 5 years of FX data, build a forecast model for GBP/USD and EUR/USD, then deliver your notebook and summary. Earn a verifiable certificate.
The scenario
DataFlow has £5M in ARR, with 50% from UK (GBP), 30% from US (USD), and 20% from EU (EUR). The company plans to expand in the US and needs to set USD pricing for the next year. The CFO is risk-averse and wants to avoid large budget variances due to FX moves.
The Brief
What you'll do, and what you'll demonstrate.
Build a data-driven model to forecast GBP/USD and EUR/USD exchange rates over a 12-month horizon, providing probabilistic estimates to support budgeting and pricing decisions.
Earning criteria — what you'll demonstrate
- Apply purchasing power parity and uncovered interest rate parity to select predictors for FX forecasting
- Build and validate a time-series forecasting model (ARIMA or regression) using real-world data
- Interpret model coefficients in the context of international finance theories
- Communicate probabilistic forecasts and uncertainty to non-technical stakeholders
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.
- Time Series Forecasting
Apply time series forecasting to solve real industry problems and demonstrate production-level capability.
- Econometric Modeling
Apply econometric modeling to solve real industry problems and demonstrate production-level capability.
- Python
Write clean, efficient Python for data processing, automation, and backend services.
- Data Visualization
Transform complex data into clear, insightful visual representations.
- Fx Analysis
Apply fx analysis 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:
This Code challenge mirrors the work of a Data Science Intern, building skills that transfer directly to related career paths.