This course provides practical skills and knowledge on using data mining techniques to detect fraud in both public and corporate sectors. The curriculum covers classification, clustering, and predictive analytics methods, combined with AI and machine learning for fraud detection. It also includes training on digital forensics, regulatory compliance, and risk mitigation strategies. Participants will learn how to uncover suspicious patterns and anomalies within large datasets. Hands-on case studies and real-world examples will be used to prepare participants to apply data-driven approaches to prevent, detect, and investigate fraudulent activities effectively.