Discovering Patterns in Data provides a practical, accessible introduction to data mining for college-level courses and workforce programs. Students learn how to explore, clean, and prepare data; identify patterns and relationships; and apply core data mining methods including clustering, classification, and association analysis. The text also introduces AI-enhanced techniques for working with text, images, and complex data.
Designed for full-semester academic use, the book blends conceptual foundations with hands-on labs, real datasets, and guided exercises. Clear explanations support learners from any discipline, making this an ideal starting point for applied data analytics and business analytics pathways.
Topics include data exploration, preprocessing, clustering, classification, association rules, descriptive statistics, AI-assisted analysis, and practical workflows used in modern analytics.
Instructor resources are available from the publisher.
