Credit Risk Modeling & Analysis Mastery Specialization | Coursera


Credit Risk Modeling & Analysis Mastery Specialization | Coursera [Update 01/2026]
English | Size: 1.33 GB
Genre: eLearning

Master Credit Risk Models and Analysis. Build, analyze, and apply credit risk models for real-world financial institutions.

What you’ll learn
Apply advanced credit risk modeling techniques including PD, LGD, and EL estimation.
Analyze and interpret corporate financial data to assess creditworthiness and default risk.
Build, validate, and communicate credit risk models aligned with banking and regulatory standards.

Specialization – 3 course series
This specialization provides a comprehensive pathway to mastering credit risk modeling from theory to practical application. Learners will explore key concepts such as Probability of Default (PD), Loss Given Default (LGD), and Expected Loss (EL), progressing to advanced frameworks like the Altman Z-Score and Merton’s Model. Through sector-specific and real-world case studies, participants will learn to assess financial statements, assign credit ratings, and build robust risk models aligned with banking and regulatory standards. Designed for finance professionals and analysts, this specialization bridges data-driven analysis with decision-making proficiency in corporate and institutional credit risk.

Applied Learning Project

Learners will complete hands-on projects that simulate real-world credit risk evaluation and modeling scenarios. Using actual corporate financial data, participants will construct and interpret credit risk models, compute key risk metrics, and prepare internal credit assessments and recommendations. These applied projects reinforce analytical and decision-making skills vital for risk management roles in banks and financial institutions.

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