Credit Risk Modeling in Python

with Nikolay Georgiev
4.9/5
(176)

Teaching you the programming behind how banks decide who should get a loan. You will learn risk modeling theory and advance your Python modeling skills.

6 hours 58 lessons
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Course Overview

Credit risk modeling is the place where data science and fintech meet. It is one of the most important activities conducted in a bank, with the most attention since the recession. At present, it is the only comprehensive credit risk modeling course in Python available online – taking you from preprocessing, through probability of default (PD), loss given default (LGD) and exposure at default (EAD) modeling, all the way to calculating expected loss (EL).

58 High Quality Lessons
60 Practical Tasks
6 Hours of Video
Certificate of Achievement

Topics covered

data analysisProgrammingPythonTheory

What You'll Learn

This course will teach you to understand the main principles behind the bank decision-making systems regarding who should get a loan and why. Enrolling lets you combine your skills in data science and fintech, and build a proper credit risk modeling structure.

Understand the meaning of a credit risk  
Use Anaconda Prompt and Jupyter Notebook 
Generalize data preparation – preprocessing 
Employ a logistic regression 
Apply specific models for decision making 
Calculate expected losses 

Curriculum

Student feedback

4.9/5

176 ratings
5 stars
162 (92%)
4 stars
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02.09.2022
In the PD model, continuous variables are transformed to discrete intervals which doesn't achieve the same discrimination potential as a pure continuous variable. Also fine/coarse classing requires manual work which is very time consuming for a dataset with many features.
21.07.2022
Exceptional course. Every little step including the data preprocessing is nicely done and explanations as to why that would be done given. Every concept is well explained and you finish it feeling confident to work as a credit risk quant!
09.02.2023
A complete course for modelling credit risk. From the basic definitions to a complete preprocessing and estimation of the probability of default from the clients' data.
03.11.2022
I am really liking this course, it is of great added value to my FRM class, I wish i could afford it when the free trial is over
25.01.2023
An outstanding course with a significant issue. This course with take you from A to Z, but it misses some essential attachments
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“This is the perfect training if you’re into data science and are trying to stand out from the competition with increasingly in-demand skills. I will show you how to combine Python programming with credit risk modeling to create a model in a real-life working environment. Step by step, and exactly how it is performed in the industry.”

Nikolay Georgiev
Director at KBC Group
Credit Risk Modeling in Python

with Nikolay Georgiev

Start Course