95-791 Data Mining

6 units, Carnegie Mellon University

Data mining is the science of discovering structure and making predictions in large, complex data sets. Nowadays, almost every organization collects data, which they hope to use to support improved decision making. Learning from data can enable us to better detect fraud, make accurate medical diagnoses, monitor the reliability of a system, perform market segmentation, improve the success of marketing campaigns, and much, much more. This course serves as an introduction to Data Mining for students in Business and Data Analytics. Students will learn about many commonly used methods for predictive and descriptive analytics tasks. They will also learn to assess the methods predictive and practical utility.

Prerequisites: (90-777 (min C) or 95-796 (min C) or 91-801 (min C) or 90-711 (min C) or 90-707 (min C)) and (90-819 (min C) or 95-888 (min C))

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