Rutgers University 3 credits Business Analytics and Information Technology
Explores the fundamental concepts of data mining and provides extensive hands-on experience in applying the concepts to real-world business applications. Topics include classification, clustering, association analysis, and anomaly/novelty detection. The final two weeks of the course involve student project presentations applying data mining techniques to applications such as fraud detection, web usage analysis, customer churn analysis, customer segmentation, blog mining, text mining, and other business data analysis. Prerequisites: 33:136:385 & 33:136:388. Open to 136 majors, 136 CERT, and 623 CERT. Junior or senior status.
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