Data Mining Methods and Techniques: Data Preparation, Model Building, and Evaluation -- TDWI Events

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Data Mining Methods and Techniques: Data Preparation, Model Building, and Evaluation

Prerequisite: None

Two-Day Course

This two-day course presents data mining methods and process at the tactical level. Attendees will observe demonstrations of machine learning methods and computer-guided analytical techniques for extracting and interpreting complex patterns and relationships from large volumes of data. If you desire an intensive functional orientation to data mining concepts, tools, techniques, and supporting methods, this session is designed for you.

This vendor-neutral course broadly covers data-driven information discovery techniques and model-building tactics free of bias to any particular modeling tool or method. Popular open source and commercial packages are leveraged to illustrate methods, but not to showcase the tools.

You Will Learn

The data mining process and general implementation
How to prepare raw data and benefit from visualization
Key data mining methods and how they compare
How to validate models and assess their value
Data mining product selection
Solution integration, ongoing performance, and maintenance
Where to begin and how to obtain resources and support

Geared To

IT professionals who wish to expand their business intelligence skills; project leaders who must extract value from their data; decision support system architects who require a solid understanding of the infrastructures required for supporting a data mining solution; business analysts who must develop and interpret the models, communicate the results, and make actionable recommendations; functional analysts, including: customer relationship managers, risk analysts, business forecasters, statistical analysts, inventory flow analysts, direct marketing analysts, medical diagnostic analysts, market timers, e-commerce system architects, Web data analysts