# Credit Risk Modeling in Python

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.

with Nikolay Georgiev

Start course#### 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).

#### Skills you will gain

#### 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.

#### Curriculum

#### “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