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Principles of Credit Evaluation and Fixed Income Instruments

4.90
1,152 students
2h 17m
Updated Apr 2026

What you'll learn

Execute fundamental credit risk assessments using industry-standard analytical frameworks.
Evaluate various fixed income securities and their risk characteristics across different market segments.
Interpret credit ratings and assess their implications for investment decision-making.
Apply basic financial statement analysis techniques to assess issuer creditworthiness.

Course Description

This course offers a strategic introduction to the principles and practices of credit analysis and fixed income investing. Designed for professionals seeking to deepen their understanding of credit risk and debt markets, it blends analytical frameworks with practical tools to evaluate financial health, creditworthiness, and investment potential. Learners will gain insights into how credit decisions are made, how various fixed income instruments function, and how financial and non-financial data inform risk assessment, building a strong foundation for roles in investment management, corporate finance, and credit evaluation.

Through hands-on exercises and real-world case studies, learners will apply concepts to actual market scenarios. By the end of the course, participants will be able to approach credit and fixed income analysis with greater precision and strategic insight.

This course is designed for finance professionals aiming to deepen their expertise in credit risk assessment and fixed income investing. Whether you're a financial analyst, fixed income trader, portfolio manager, or credit risk specialist at a bank or rating agency, the content is tailored to equip you with practical, industry-relevant skills. Investors looking to better understand the bond market will also benefit from its structured approach and real-world applications.

To get the most out of this course, participants should have a basic understanding of financial concepts such as time value of money, interest rates, and financial statements. Familiarity with Excel and basic quantitative skills will be helpful for completing hands-on exercises. While no prior experience in credit analysis or fixed income markets is required, those with a background in finance, accounting, or investment will find the course especially rewarding.

By the end of this course, participants will be able to execute fundamental credit risk assessments using industry-standard analytical frameworks and methodologies. They will develop the skills to evaluate a variety of fixed income securities—such as bonds, structured products, and loans—and understand the risk characteristics associated with each across different market segments. Learners will gain the ability to interpret credit ratings, analyze rating methodologies, and assess how these ratings impact investment decisions. Additionally, they will be able to apply essential financial statement analysis techniques to evaluate the creditworthiness of issuers, enhancing their capacity to make informed lending and investment choices.

Course Learning Objectives

Upon completion of this course, participants will be able to:

Execute fundamental credit risk assessments using industry-standard analytical frameworks

Evaluate various fixed income securities and their risk characteristics across different market segments

Interpret credit ratings and assess their implications for investment decision-making

Apply basic financial statement analysis techniques to assess issuer creditworthiness

Requirements

  • To get the most out of this course, participants should have a basic understanding of financial concepts such as time value of money, interest rates, and financial statements. Familiarity with Excel and basic quantitative skills will be helpful for completing hands-on exercises. While no prior experience in credit analysis or fixed income markets is required, those with a background in finance, accounting, or investment will find the course especially rewarding.

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Course Details

  • Level Intermediate
  • Lectures 33
  • Duration 2h 17m