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ICTM 622 - Data Mining and Business Analytics

 

This course will help students appreciate and be able to identify the enormous opportunities that currently exist in providing business intelligence services based on data mining techniques of micro-level data capture, cleansing, validation, storage and analysis.

The learning outcomes of this course are:

  • Gaining a practical understanding of the key data mining methods of classification, prediction, data reduction and exploration
  • Understanding how to decide when to use which technique
  • Understanding how to implement major techniques using Excel add-ins
  • Becoming a smart and critical consumer of data mining techniques

Pre-Requisites: none

Textbook: Data Mining for Business Intelligence: Concepts, Techniques, and Applications in Microsoft Office Excel with XLMiner by Galit Shmueli, Nitin R. Patel and Peter C. Bruce, Wiley, 2007

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  • 2512 Chambers Road, Suite 107,
  • Tustin, CA92780, USA
  • 949-501-3701
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