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Credit Risk Modeling in R

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Certification

Credit Risk Modeling in R

To model credit risk in statistical modeling, you can use logistic regression or decision tree.

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Description

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Features

This course includes

Duration

4 hours
Video Content
4 hours
Level
Intermediate
Instruction Type
Self Paced
Delivery Method
Online
Available on
Mobile, Desktop, Laptop
Accessibility
Limited Access
Language
English
Subtitles
English

Skills

Data ModelingR ProgrammingCredit Risk ManagementDecision TreeRegression

Learning Goals

This chapter begins with a general introduction to credit risk models
We'll explore a real-life data set, then preprocess the data set such that it's in the appropriate format before applying the credit risk models
In this chapter, you will learn how to apply logistic regression models on credit data in R

Course Content

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Prerequisites/Requirements

Intermediate R for Finance

Instructors

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Lore Dirick

Director of Data Science Education at Flatiron School

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Course Overview

Hands-On Training, Instructor-Moderated Discussions

Post course interactions

Virtual labs

International faculty

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Course Cover

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