Advanced Certificate in ML Credit Scoring Models Development
-- viewing nowThe Advanced Certificate in ML Credit Scoring Models Development is a comprehensive course that focuses on building and implementing machine learning models for credit scoring. This certification is crucial in today's data-driven economy, where businesses are increasingly relying on accurate credit scoring models to make informed decisions.
7,007+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
About this course
100% online
Learn from anywhere
Shareable certificate
Add to your LinkedIn profile
2 months to complete
at 2-3 hours a week
Start anytime
No waiting period
Course Details
• Advanced Statistical Analysis: Exploring various statistical techniques and methods for understanding and interpreting data, including correlation analysis, regression analysis, and hypothesis testing.
• Machine Learning Algorithms: Diving into popular machine learning algorithms used in credit scoring models such as logistic regression, decision trees, random forests, and neural networks.
• Data Preprocessing and Feature Engineering: Learning how to preprocess and clean data, create new features, and handle missing values and outliers to improve model performance.
• Model Evaluation and Selection: Understanding how to compare and evaluate models using metrics such as accuracy, precision, recall, F1 score, and AUC-ROC, and how to select the best model for credit scoring.
• Credit Scoring Model Development: Learning how to develop credit scoring models using various techniques, including traditional scorecard models and machine learning-based models.
• Model Validation and Testing: Exploring how to validate and test credit scoring models using techniques such as cross-validation, bootstrapping, and backtesting.
• Model Implementation and Deployment: Understanding how to implement and deploy credit scoring models in a production environment, including considerations around data security and privacy.
• Ethics and Fairness in Credit Scoring: Examining the ethical considerations and potential biases in credit scoring models, and learning how to ensure fairness and avoid discrimination.
• Continuous Monitoring and Improvement: Learning how to continuously monitor and improve credit scoring models, including updating models with new data and retraining models periodically.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
Why people choose us for their career
Loading reviews...
Frequently Asked Questions
Course fee
- 3-4 hours per week
- Early certificate delivery
- Open enrollment - start anytime
- 2-3 hours per week
- Regular certificate delivery
- Open enrollment - start anytime
- Full course access
- Digital certificate
- Course materials
Get course information
Earn a career certificate
