Introduction To Data Mining

    

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