New Course - Credit Risk Modelling in R
1 min read
Get full access to all Data Science, Machine Learning, and AI courses built for finance professionals.
One-time payment - Lifetime access
Or create a free account to start
A step-by-step guide covering Python, SQL, analytics, and finance applications.
Or create a free account to access more
Get full access to all Data Science, Machine Learning, and AI courses built for finance professionals.
One-time payment - Lifetime access
Or create a free account to start
A step-by-step guide covering Python, SQL, analytics, and finance applications.
Or create a free account to access more
We are pleased to announce the addition of a new course - Credit Risk Modelling in R - to our growing library of courses on Data Science for Finance Professionals.
Course: Credit Risk Modelling
Learn to model credit risk using statistical models such as logistic regression and decision trees with real-life data.
In this course, our objective is to learn how to build these credit risk models. While credit risk arises in almost all business lines for a bank, our focus will be on the credit risk involved in the personal and corporate loans which are of major importance to banks.
We will learn credit risk modeling using case studies. Specifically, we will use two case studies starting with a simpler one using which we will learn the methodology and important concepts and techniques.