4 to 360 hours of flexible workload
valid certificate in your country
What Will I Learn?
This Credit Risk Modeling Course shows you how to define default, align models with business objectives and KPIs, and respect regulatory and compliance expectations. You will learn data inventory, feature engineering, cleaning, and leakage control, then build and validate models using logistic regression, WOE, and tree-based methods. Finally, you design scorecards, pricing, decision rules, and monitoring for robust, production-ready credit models.
Elevify Differentials
Develop Skills
- Design credit risk datasets: build predictive, stable loan features fast.
- Clean and prep credit data: fix missing values, outliers, and leakage risks.
- Build and tune PD models: logistic and tree ensembles for real loan portfolios.
- Evaluate and calibrate scores: AUC, KS, PSI, and cost-based cutoffs in practice.
- Operationalize scorecards: pricing, limits, decisions, and monitoring in production.
Suggested Summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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