Is this course really 100% online? Do I need to attend any classes in person?

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Can I just enroll in a single course?

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Will I earn university credit for completing the Specialization?

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

Spezialisierung für Credit Risk Modeling & Analysis Mastery

spezialisierung ist nicht verfügbar in Deutsch (Deutschland)

Wir übersetzen es in weitere Sprachen.

Spezialisierung für Credit Risk Modeling & Analysis Mastery

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

Dozent: EDUCBA

Bei Coursera Plus enthalten

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3-teilige Kursreihe

Befassen Sie sich eingehend mit einem Thema

Stufe Anfänger

Empfohlene Erfahrung

1 Monat bei 10 Stunden pro Woche

Flexibler Zeitplan

Verdienen Sie sich einen beruflichen Leistungsnachweis

Teilen Sie Ihr Fachwissen mit Arbeitgebern

3-teilige Kursreihe

Befassen Sie sich eingehend mit einem Thema

Stufe Anfänger

Empfohlene Erfahrung

1 Monat bei 10 Stunden pro Woche

Flexibler Zeitplan

Verdienen Sie sich einen beruflichen Leistungsnachweis

Teilen Sie Ihr Fachwissen mit Arbeitgebern

Was Sie lernen werden

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.

Überblick

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.

Was ist inbegriffen?

Zertifikat zur Vorlage

Zu Ihrem LinkedIn-Profil hinzufügen

Unterrichtet in Englisch

Kürzlich aktualisiert!

Oktober 2025

31 Praxisübungen

Erweitern Sie Ihre Fachkenntnisse.

Erlernen Sie gefragte Kompetenzen von Universitäten und Branchenexperten.
Erlernen Sie ein Thema oder ein Tool mit echten Projekten.
Entwickeln Sie ein fundiertes Verständnisse der Kernkonzepte.
Erwerben Sie ein Karrierezertifikat von EDUCBA.

Spezialisierung - 3 Kursreihen

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.

Advanced Credit Risk Modeling - IT Sector

KURS 111 StundenKurs ansehen

Was Sie lernen werden

Analyze financial statements to assess company performance and creditworthiness using real-world data and key financial metrics.
Apply Altman Z-Score and Merton’s Model to evaluate structural and market-based credit risk in corporate finance scenarios.
Formulate credit recommendations by synthesizing risk metrics, assigning ratings, and designing exit strategies.

Kompetenzen, die Sie erwerben

Credit Risk, Financial Analysis, Balance Sheet, Financial Statement Analysis, Bankruptcies, Financial Modeling, Working Capital, Risk Management, Cash Flows, Income Statement, Risk Modeling, Analysis, Business Metrics, Risk Analysis, Trend Analysis und Financial Data

Credit Risk Modeling

KURS 25 Stunden4.9 (14 Bewertungen)Kurs ansehen

Was Sie lernen werden

This comprehensive course equips learners with the knowledge and practical tools to analyze, evaluate, and apply key credit risk modeling techniques used in modern financial institutions. Through a blend of theoretical frameworks and real-world case studies, learners will explore foundational concepts such as Probability of Default (PD), Loss Given Default (LGD), and Expected Loss (EL), progressing into structural models like Merton’s approach and market-based credit assessment methods.

Participants will also construct and interpret Altman Z-scores to assess bankruptcy risk, and apply credit rating principles to real-world scenarios including airline industry case studies. The course further delves into corporate credit evaluation using internal financial metrics, unhedged foreign currency exposure (UFCE), and working capital analysis, concluding with internal rating systems and lender “ways out” strategies. Designed for aspiring risk analysts, finance professionals, and advanced students, this course combines instructional rigor with practical relevance, enabling learners to build, differentiate, and justify credit decisions with confidence.

Kompetenzen, die Sie erwerben

Credit Risk, Financial Analysis, Risk Modeling, Working Capital, Corporate Finance, Case Studies, Financial Modeling, Risk Analysis, Financial Statements, Bankruptcies und Lending and Underwriting

Credit Risk Modeling & its Application in Banks

KURS 32 Stunden5.0 (10 Bewertungen)Kurs ansehen

Was Sie lernen werden

This course provides a structured and practical introduction to credit risk modeling with a focus on its application in banking and financial institutions. Designed for learners seeking to analyze, calculate, and evaluate core credit risk components, the course begins by establishing a conceptual foundation for credit risk and its growing importance post-financial crises.

Through real-world examples and step-by-step breakdowns, learners will gain a strong grasp of key modeling inputs such as Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD). They will also learn how to compute expected loss, differentiate between settlement and pre-settlement risk, and assess the practical challenges that arise due to model assumptions and data limitations. By the end of the course, learners will be equipped to interpret and apply credit risk metrics, support risk-based decision-making, and align modeling outputs with capital adequacy and regulatory requirements in a financial services context.

Kompetenzen, die Sie erwerben

Risk Modeling, Credit Risk, Financial Regulation, Financial Modeling, Bank Regulations, Risk Management, Lending and Underwriting, Regulatory Compliance, Risk Management Framework und Financial Analysis

Erwerben Sie ein Karrierezertifikat.

Fügen Sie dieses Zeugnis Ihrem LinkedIn-Profil, Lebenslauf oder CV hinzu. Teilen Sie sie in Social Media und in Ihrer Leistungsbeurteilung.

Dozent

EDUCBA

522 Kurse135.530 Lernende

von

EDUCBA

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Häufig gestellte Fragen

The Credit Risk Modeling & Analysis Mastery Specialization can be completed in approximately 10 to 11 weeks, with a recommended study commitment of 3–4 hours per week. This flexible schedule allows learners to progress at a manageable pace while gaining a thorough understanding of credit risk principles, model development, and their application in real-world financial environments. By the end of the program, participants will have developed both the theoretical foundation and the practical expertise needed to evaluate, build, and apply advanced credit risk models confidently.

A foundational understanding of finance, accounting, and statistics is recommended. Familiarity with Excel or Python will be beneficial for performing data analysis, financial modeling, and interpreting quantitative outputs effectively.

Yes. It is recommended to follow the courses in sequence, as each course builds upon the previous one—starting with fundamental credit risk principles, advancing into modeling frameworks, and culminating with practical applications in the banking sector. This structured progression ensures a cohesive and comprehensive learning experience.

Upon completion, learners will be able to design, implement, and evaluate credit risk models used by financial institutions to assess borrower risk and creditworthiness. They will develop the skills to analyze corporate financial data, calculate risk parameters such as PD, LGD, and EL, and formulate risk-adjusted recommendations aligned with regulatory and business objectives. Graduates will be equipped to pursue roles in risk analysis, credit assessment, and financial modeling within the banking and finance industry.