Udemy – Credit Risk Modeling in Python 2024-11
Udemy – Credit Risk Modeling in Python 2024-11 Downloadly IRSpace
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Credit Risk Modeling in Python, Welcome to Credit Risk Modeling in Python. This is 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, holding a PhD from the Norwegian Business school and having 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 provides a complete picture of 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 Most data science courses cover several frameworks but skip the pre-processing and theoretical part. This is like learning how to taste wine before being able to open a bottle of wine.
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
Who this course is for
- 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
Specificatoin of Credit Risk Modeling in Python
- Publisher : Udemy
- Teacher : 365 Careers
- Language : English
- Level : All Levels
- Number of Course : 75
- Duration : 6 hours and 51 minutes
Content of Credit Risk Modeling 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
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Subtitle : English
Quality: 720
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File size
1.95 GB
