Credit Risk Modeling in Python 2023 Course

A complete data science case study: preprocessing, modeling, model validation and maintenance in Python

Brand new course!! Hi! Welcome to Credit Risk Modeling in Python. The only online course that teaches you how banks use data science modeling in Python to improve their performance and comply with regulatory requirements. This is the perfect course for you, if you are interested in a data science career. Here’s why:

• The instructor is a proven expert (PhD from the Norwegian Business school, who has taught in world renowned universities such as HEC, the University of Texas, and the Norwegian Business school).
• The course is suitable for beginners. We start with theory and initial data pre-processing and gradually solve a complete exercise in front of you
• Everything we cover is up-to-date and relevant in today’s development of Python models for the banking industry
• This is the only online course that shows the complete picture in credit risk in Python (using state of the art techniques to model all three aspects of the expected loss equation – PD, LGD, and EAD) including creating a scorecard from scratch
• Here we show you how to create models that are compliant with Basel II and Basel III regulations that other courses rarely touch upon
• We are not going to work with fake data. The dataset used in this course is an actual real-world example
• You get to differentiate your data science portfolio by showing skills that are highly demanded in the job marketplace
• What is most important – you get to see first-hand how a data science task is solved in the real-world

Best Seller Course: Time Series Analysis in Python 2023

What you’ll learn

• Improve your Python modeling skills
• Differentiate your data science portfolio with a hot topic
• Fill up your resume with in demand data science skills
• Build a complete credit risk model in Python
• Impress interviewers by showing practical knowledge
• How to preprocess real data in Python
• Learn credit risk modeling theory
• Apply state of the art data science techniques
• Solve a real-life data science task
• Be able to evaluate the effectiveness of your model
• Perform linear and logistic regressions in Python

Recommended Course: 2023 Python Data Analysis & Visualization Masterclass

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