What you'll get
- 65+ Hours
- 18 Courses
- Mock Tests
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
- Download Curriculum
Synopsis
- The course covers both fundamental and advanced credit risk topics, including traditional and structural credit models, the Altman Z-Score, credit analysis, UFCE and WC modeling, and internal ratings.
- Downloadable Excel templates are provided for practical application throughout the course.
- Learners receive one year of unlimited access, enabling them to review the material as often as needed.
- The course is open to all individuals interested in credit risk, with no specific eligibility requirements.
- No formal prerequisites are required, although basic accounting knowledge is recommended.
- A Certificate of Excellence is awarded upon course completion.
- Certificates can be verified online through unique links and are suitable for resumes or LinkedIn profiles.
- The course is delivered as a self-paced video program, allowing learners to study at their convenience.
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Credit Risk Modeling | 2h 41m | ✔ | View Curriculum |
| Advanced Credit Risk Modeling: IT Sector | 5h 46m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Microsoft Excel Course | 4h 9m | ✔ | View Curriculum |
| Microsoft Excel - Advanced Training | 6h 26m | ✔ | View Curriculum |
| Microsoft Excel Charts and SmartArt Graphics | 6h 43m | ✔ | View Curriculum |
| Power Excel Training | 5h 15m | ✔ | View Curriculum |
| Microsoft Excel Reports | 7h 7m | ✔ | View Curriculum |
| Advanced Excel 2016 - Some Important Features | 3h 21m | ✔ | View Curriculum |
| Mastering Microsoft Excel Date and Time | 2h 47m | ✔ | View Curriculum |
| Microsoft Excel Simulations Training | 2h 06m | ✔ | View Curriculum |
| Financial Functions in Excel | 2h 36m | ✔ | View Curriculum |
| Pivot Table | 1h 28m | ✔ | View Curriculum |
| Pivot Tables in Microsoft Excel 2013 | 2h 3m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| No courses found in this category. | |||
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Credit Rating Tutorial | 5h 43m | ✔ | View Curriculum |
| Credit Research Modeling – Research Process & Methodology | 4h 39m | ✔ | View Curriculum |
| Credit Rating Analysis & Methodologies | 3h 59m | ✔ | View Curriculum |
| Credit Rating & Financial Analysis | 2h 56m | ✔ | View Curriculum |
| Bank Credit Ratings & Analysis | 44m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| No courses found in this category. | |||
Description
This comprehensive course offers in-depth instruction in credit risk modeling, Excel, and credit rating methodologies. It is suitable for finance professionals seeking to advance their skills and students preparing to enter the industry, providing practical knowledge essential for success.
Participants start with the fundamentals of credit risk modeling, learning key models and techniques for evaluating and managing credit risk. The course then develops Excel proficiency, progressing from basic functions to advanced features, including dynamic charts and complex data analysis. Finally, learners examine credit rating methodologies and the factors involved in assessing creditworthiness.
The program includes mock tests and quizzes to help participants assess their knowledge in credit risk modeling, Excel, and credit rating practices. These assessments offer feedback to reinforce understanding and highlight areas for improvement. By course completion, participants will have the skills needed to excel in credit risk management and financial analysis.
Module 1: Credit Risk Modeling
This module covers essential concepts and techniques for effective credit risk assessment and management. Participants study the probability of default (PD), loss given default (LGD), exposure at default (EAD), and other key risk metrics. Real-world examples and case studies demonstrate practical applications, preparing learners to analyze risk and make informed financial decisions.
Module 2: Microsoft Excel Proficiency
This module develops essential Excel skills for financial analysis and modeling. Participants progress from foundational concepts, such as data entry and basic formulas, to advanced topics like dynamic charts and complex formulas. Hands-on exercises reinforce practical application, enabling efficient data analysis for a variety of financial tasks.
Module 4: Credit Rating Methodologies
In this module, participants examine the principles and practices of credit rating. They learn the steps in assessing creditworthiness, including data collection, analysis, and interpretation. The module covers rating models used by agencies, factors influencing ratings, industry practices, and regulatory considerations. Case studies offer practical insights into how credit ratings impact financial decisions.
Module 3 & 5: Mock Tests and Quizzes
This module allows participants to test their knowledge in credit risk modeling, Excel, and credit rating methodologies. Practice quizzes and mock tests cover key concepts, with detailed feedback to identify gaps and reinforce learning. These exercises prepare participants for real-world applications and certification exams in financial analysis and credit risk management.
Sample Certificate
Requirements
- Familiarity with core finance concepts such as risk, return, financial statements, and accounting principles will help you understand the material more effectively, though no formal prerequisites are required.
- Basic proficiency in Microsoft Excel, including data entry, calculations, formatting, and simple chart creation, is recommended for financial modeling and analysis.
- A genuine interest in credit risk, modeling techniques, and credit rating methodologies will enhance your engagement and motivation throughout the course.
- Strong analytical skills will help you interpret financial data accurately and approach credit risk assessment critically.
- Openness to learning new concepts and techniques, from Excel basics to advanced credit risk modeling, is essential for success in this course.
Target Audience
- Finance Professionals: Analysts, credit risk managers, bankers, and consultants seeking to enhance their skills in credit risk modeling and financial analysis.
- Students and Graduates: Finance students and recent graduates looking to build a strong foundation in credit risk management for careers in banking, risk, or financial services.
- Risk Managers: Credit officers, compliance professionals, and risk managers aiming to expand their knowledge of credit risk assessment techniques and methodologies.
- Investment Professionals: Portfolio managers, analysts, and fund managers responsible for evaluating creditworthiness and assessing risk-return profiles to support investment decisions.
- Business Owners and Entrepreneurs: Entrepreneurs seeking to understand credit risk principles to make informed financing decisions and manage business credit effectively.
- Finance Enthusiasts: Individuals interested in finance who want to explore credit risk modeling and analysis for personal or professional development.
