Credit Risk Modeling in Python

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

Created by: 365 Careers
Creating opportunities for Data Science and Finance students

What Will I 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

Requirements

• No prior experience is required. We will start from the very basics
• You’ll need to install Anaconda and Python. We will show you how to do that step by step

Target audience

• You should take this course if you are a data science student interested in improving their skills
• You should take this course if you want to specialize in credit risk modeling
• The course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills
• This course is for you if you want a great career