Credit Risk Scoring & Decision Making by Global Experts

Master Credit Risk Scoring with Real-World Data and Advanced Techniques with Sector Best Practices using Python

Created by: Ayhan Diş
Udemy Instructor

What Will I Learn?

• Build a Comprehensive Credit Risk Model: Participants will learn to construct a complete credit risk model using Python
• Preprocess and Analyze Real-World Data: The course will teach how to preprocess and manage real-world datasets, preparing them for modeling and analysis.
• Apply Advanced Data Science Techniques: Learners will gain knowledge of advanced data science techniques and how to apply them in the context of risk models
• Evaluate and Validate Models: The course covers model evaluation and validation processes to ensure the effectiveness and reliability of credit risk models.
• Practical Application and Real-Life Examples: Gain practical knowledge through real-life examples and case studies
• Sector Best Practices: Learn industry standards for designing and implementing robust credit risk systems

Requirements

• Basic Python Knowledge and Enthusiasm to Learn
• Basic Math and Statistics

Target audience

• Banking Professionals
• Finance and Risk Management Students
• Aspiring Credit Risk Professionals
• Credit Risk Auditors
• Entrepreneurs and Business Owners
• Data Scientists