Credit Risk Modeling Course
This course provides comprehensive training on credit risk modeling, covering dataset design, data preparation, model building with logistic regression and tree-based methods, evaluation techniques, and operationalization of scorecards for production use.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
This Credit Risk Modelling 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 advantages
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 the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students are saying
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