Introduction to Data Mining and Analytics edition by Jamsa

Introduction to Data Mining and Analytics by Jamsa offers a practical overview of how organizations collect, prepare, analyze, and interpret data for decision-making. The text introduces key topics such as data preprocessing, pattern discovery, predictive modeling, clustering, classification, and visualization. Students learn how analytics techniques can reveal trends and support business, scientific, and technical problem solving. Written for learners developing data literacy and applied analytics skills, this JBLearning title fits introductory courses in data mining, analytics, information systems, or related technology programs that emphasize real-world use of data.