Explore foundational data mining techniques, spanning data preprocessing, classification, clustering, association analysis, and anomaly detection. Fusing theory with practical examples, it empowers students to transform voluminous datasets into meaningful insights, preparing them for challenges in data-driven industries and real-world applications.
