Finance Train LogoFinance Train
Learning LibraryTemplatesBlog
Data Science Bundle
Finance TrainFinance Train
Learning LibraryTemplatesBlog
Data Science Bundle
📊R Programming

New Course - Credit Risk Modelling in R

April 17, 2018
1 min read

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.

View Course Details

Learning Library

Practical resources on data science, machine learning, and AI for finance professionals.

Browse Library
Mini Roadmap - Data Science for Finance
Free Download

Mini Roadmap: Data Science for Finance

A step-by-step guide covering Python, SQL, analytics, and finance applications.

Finance Train

Learn data science and AI skills for finance through practical courses and tutorials.

Learn

  • Learning Library
  • Course Directory
  • Blog

Resources

  • Templates & Downloads
  • Tools
  • Tables
  • Calculators

Company

  • About
  • Contact
  • Privacy
  • Terms

© 2026 Finance Train. All rights reserved.