Udemy – Credit Risk Modeling in Python 2020 2020-6

Description

Credit Risk Modeling in Python 2020 is a comprehensive Python-based credit risk modeling training course. In fact, this course is a complete data science project using the Python language that includes all the steps of preprocessing, modeling, validation, and maintenance and improvement. This course teaches how banks use data science modeling to improve performance and compliance with legal requirements. Designed for beginners, this course provides a thorough knowledge of credit risk, concepts and techniques including three aspects of the expected loss equation (PD, LGD and EAD) as well as practical skills in data science modeling in Python. Puts you at your disposal. Many similar courses cover multiple frameworks but go beyond preprocessing and theories.

The advantage of this course is that, first of all, it forms a very strong foundation for you by mastering the concepts and then teaches all the steps from preprocessing to modeling and validation. This course also covers how to build models that comply with the Basel II and Basel III regulations. Data science techniques covered by this course include WOE and IV (Weight of evidence and Information value), Fine classification, Coarse classification, linear regression, logical regression, sub-curve area, characteristic curve System performance, Gini index, Kolmogorov-Smirnov, population stability assessment and model maintenance were mentioned.

What do you learn?

Improve Python modeling skills

Improve resumes and job interviews by mastering data science skills

How to preprocess data (using real data)

Learn the theory of credit risk modeling

Apply up-to-date data science techniques

Perform linear and logical regression in Python

And

This training is suitable for people who

Students have given knowledge that they are interested in improving their skills

People who want to specialize in credit risk modeling

Beginners who want to build a strong foundation and then build their skills

People who work in marketing and want to strengthen their profession by mastering data science

People who are looking for employment in a big profession

Specifications of Credit Risk Modeling in Python 2020

Publisher: Udemy

Instructor: 365 Careers

English language

Level of training: from basic to advanced

Number of lessons: 75 lessons in 13 sections

Duration: 6h 51m

Prerequisites

No prior experience is required. We will start from the very basics

Youll need to install Anaconda and Python. We will show you how to do that step by step

Installation

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p