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

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
This Credit Risk Modelling Course teaches you how to define default, align models with business objectives and KPIs, and meet regulatory and compliance requirements. 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 quickly.
- 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.
- Operationalise 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 say
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