Introduces the theories, concepts, and methods for intensive data analysis methods and data mining techniques, such as supervised and unsupervised learning, classification methods, decision trees, clustering, association rule mining, text mining, and natural language processing. Investigates Exploratory Data Analysis, the interpretation of hidden patterns in data using statistical and visualization techniques. Offers students an opportunity to apply modern data mining techniques for effective large-scale data pattern recognition and insight discovery. Student teams evaluate, analyze, and report data for the methods used and insights discovered during case studies.