Credit Risk Analytics Full Stack
Latest upcoming batch details
Comprehensive three months program meant for the committed learners of Credit Risk Analytics. This course includes live mentor-led sessions every week which ensures you are guided at all stages during your Credit Risk Analytics Training. Case study based approach and application focus keeps you engaged throughout the course.
At some level or the other we all associate with financial institutions, be it a consumer, a stakeholder or an employee. Post the Global Financial Crisis, every economy has become more thoughtful of the decisions involving finance. There is a lot of intelligence involved in how the Banks today make their lending decisions be it to an individual or to a corporate body. This course provides you hands-on capability to solve the business problems involving such decisions.
This program builds over and above the Foundation Credit Risk Analytics Course. The Full Stack Credit Risk Analytics program covers concepts and application of multiple machine learning algorithms including Neural Networks and Boosting techniques. We do an in depth coverage of model evaluation techniques. You take a closer look at Expected Loss estimation through its components such as Probability of Default (PD), Loss Given Default (LGD) and Exposure and Default (EAD). You will further be able to appreciate the difference in approach when it comes to decision making for corporate lending.
Even if you don’t have any prior experience into Analytics and/or Credit Risk, you will still be able to learn it easily as we cover each topic in Credit Risk Analytics training from scratch and that too more from application perspective; therefore, you learn exactly what you need to become a skilled Credit Risk Analytics professional.
- Lectures 23
- Quizzes 0
- Type Recorded Content + Live Mentor Sessions
- Case Study & Quizzes Yes
- Articles 8
- Certificate of Completion Yes
- Duration 20 Hours
- Skill level Beginner
- Language English
- Students 489
- Assessments Yes
Introduction to Credit Risk Framework
Introduction to R
Data Visualization in R
Credit Risk Modeling in R