Name: Credit Risk Modeling in R
Brand: DataCamp
SKU: 2014354

Course description

Apply statistical modeling in a real-life setting using logistic regression and decision trees to model credit risk.

Upcoming start dates

1 start date available

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Self-Paced Online
Online
English

Training Course Content

This hands-on-course with real-life credit data will teach you how to model credit risk by using logistic regression and decision trees in R. Modeling credit risk for both personal and company loans is of major importance for banks. The probability that a debtor will default is a key component in getting to a measure for credit risk. While other models will be introduced in this course as well, you will learn about two model types that are often used in the credit scoring context; logistic regression and decision trees. You will learn how to use them in this particular context, and how these models are evaluated by banks.

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Data Science Central UK Limited, 25 Luke Street

EC2A 4EE London

+34000000000

www.datacamp.com

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DataCamp

DataCamp offers a comprehensive platform for learning data skills, specializing in training individuals and teams in data science, analytics, and AI. With a focus on interactive, hands-on learning, DataCamp provides courses across key programming languages such as Python, R, SQL,...

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Credit Risk Modeling in R

Course description

Upcoming start dates

Start Anytime!

Upcoming start dates

Training Course Content

Why choose DataCamp

DataCamp

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