Learning Path

Foundations of Probability and Statistics → Case Studies in Fraud Detection and Security

This graduate-level path equips data scientists with a comprehensive toolkit for detecting anomalies and rare events, spanning statistical methods, machine learning models, and specialized techniques for time-series and contextual anomalies. It emphasizes rigorous evaluation under imbalanced data conditions, essential for fraud detection and security applications.