Information Technology
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Credit Risk Modeling in Python

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5

(3)

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Course Features

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Duration

4 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

4 hours

Course Description

Perhaps you have applied for a loan, or a credit card. You are aware that financial companies may process your information before they make a decision. They could lose their business if they approve you for a loan. This course will show you how to prepare credit application data. Machine learning and business principles will be used to reduce risk and improve profitability. Two data sets will be used in order to simulate credit applications. However, the business value must also be considered. Join me to learn more about credit modeling and the expected value.

Course Overview

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Virtual Labs

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International Faculty

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Introduction to Python for Finance

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Intermediate Python

What You Will Learn

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Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability

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In this course, you will learn how to prepare credit application data

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You will use two data sets that emulate real credit applications while focusing on business value

Course Instructors

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Michael Crabtree

Data Scientist

Michael is a cross-functional data scientist and big data engineer at Ford. He has created several high-value analytical and data products spanning domains such as manufacturing, purchasing, finance,...

Course Reviews

Average Rating Based on 3 reviews

5.0

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