Overview
Context of the Credit Risk Modeling in Python course at Data Camp
If you've ever applied for a credit card or loan, you know that financial firms process your information before making a decision.
This is because giving you a loan can have a serious financial impact on their business.
But how do they make a decision? After that, you will apply machine learning and business rules to reduce risk and ensure profitability.
You will use two data sets that emulate real credit applications while focusing on business value. Join me and learn the expected value of credit risk modeling!
Programme Structure
Chapters
- Exploring and Preparing Loan Data
- Logistic Regression for Defaults
- Gradient Boosted Trees Using XGBoost
- Model Evaluation and Implementation
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Disciplines
Finance Software Engineering View 193 other Short Courses in Finance in United StatesAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
PREREQUISITES
- Introduction to Python for Finance
- Intermediate Python
Tuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
Basic Access: Free; Premium (for individuals): $12.42 per month billed annually; Teams: $25 per month billed annually; Enterprise: Contact sales for pricing