Course: BANA 620. Data Mining and Predictive Analytics for Business (3)

Prerequisite: BANA 607. This course provides a comprehensive coverage of the most widely used classical and modern predictive business modeling techniques, such as logistic regression, k-nearest neighbor, naïve Bayes, clustering, neural network, regularization, etc. This course also provides a strong theoretical foundation of predictive analytics in making both classifications and predictions based on big data. Using realistic business examples, students learn how to implement the solutions using state of the art business analytics software.

Fall-2024 - Schedule of Classes

BANA 620

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