Prerequisite(s): INFO 257; and INFO 265 may be taken as prerequisite or corequisite. Restriction(s): Business Administration Majors, Business Analytics Majors, or Business Analytics Minors only. In this course students are introduced to analytical techniques for business decision making that are suitable for structured data. Training data, validation data, and out-of-sample validation data for model development and validation are discussed. Popular data mining techniques like decision trees, neural networks, and cluster detection are introduced. Students will use data mining software to analyze realistically large datasets to gain experience with these techniques.