Teaching data mining techniques to applied business analytics students with the help of interactive hands-on tutorials
Teaching data mining techniques to applied business analytics students with the help of interactive hands-on tutorials

Summary/Abstract: This paper discusses a contemporary educational approach for teaching data mining techniques to applied business analytics students with the help of interactive hands-on tutorials. This approach provides for different levels of guidance, depending on the complexity of the task. The most complex technical steps of the data mining process can be automated, allowing students with non-technical backgrounds to understand and appreciate the conceptual purposes without needing to dive into the minutiae of detailed optimization algorithms. The proposed method leverages advanced technologies to enable the delivery of a complete educational product that resonates with students of different backgrounds, and with various preferred learning styles. The author presents his work on the development of interactive hands-on tutorials for teaching data mining techniques directly in the R console for the purposes of the “AD699 Data Mining for Business Analytics” – a graduate course being delivered both online and on-campus by Boston University / Metropolitan College, Department of Administrative Sciences.

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