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Introduction To Data Mining

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Summary:
This course provides the students with the skills necessary to set up, execute, and interpret the output from data mining analysis tools.

Duration:
3 Days/Lecture & Lab

Audience:
This course is intended for users, power users, programmers, analysts, DBAs, Data Modelers, or anyone else who needs to do data mining.

Topics:

  • Data Mining In Context
  • Why Master The Art Of Data Mining?
  • Data Mining Methodology The Virtuous Cycle Revisited
  • Customers And Their Life Cycles
  • Data Mining Techniques And Algorithms
  • What Data Should And Does Looks Like
  • Building Effective Predictive Models
  • Taking Control Setting Up A Data Mining Environment
  • Who Needs Bag Balm And Pants Stretchers
  • Who Gets What? Building A Best Next Offer Model For An Online Bank
  • Please Don't Go! Churn Modeling In Wireless Communication
  • Converging On The Customer Understanding Customer Behavior In The Telecommunications Industry
  • Who Is Buying What? Getting To Know Supermarket Shoppers
  • Waste Not, Want Not Improving Manufacturing Processes
  • The Societal Context Data Mining And Privacy

Prerequisites:
Students should have at least some experience with coding SQL for any relational database management system plus at least a conceptual understanding of Data Warehousing.




Last Update: May 23, 2012