Predictive Analytics & Data Mining: Model Development and Strategic Implementation

Learn how experts mine data by attending The Modeling Agency's vendor-neutral and application-oriented predictive analytics and data mining courses.  Participants will learn about predictive modeling strategy, best practices, capabilities, limitations, risks, rewards, methods, tools, techniques, applications, practice, and how to get started. 

Courses may be attended independently, or as a series.  Since The Modeling Agency is not a tools vendor, participants enjoy a balanced, broad, and non-promotional perspective of data mining.  Choose the orientation that's right for you:

   LEVEL I illustrates the data mining process, methods, tools and techniques.
   LEVEL II presents project design and a practical use workshop.
   FULL SERIES: for a comprehensive one-week progression.

Register at least four weeks prior to the next scheduled offering and receive a $100 American Express Gift Card at the event for your personal use anywhere that the American Express card is accepted.  Simply enter code DMAMEX11 in the "Special Considerations" field of the registration form.

Class seating is limited. Don't miss your chance to attend. Reserve your space today:

Can't attend any of the published offerings on the training schedule?  Be notified automatically of future events and receive informative articles related to data mining, predictive analytics, and knowledge discovery through The Modeling Agency's quarterly newsletter. The subscription is free and activation takes just seconds at:

Speaker and Presenter Information

THOMAS A. "TONY" RATHBURN, is a primary instructor for The Modeling Agency's "Predictive Analytics & Data Mining II: Strategic Implementation" course and a Senior Consultant. Tony has worked with commercial and government clients to develop predictive modeling solutions to challenging data mining applications since the mid 1980ís. Tony holds extensive domain experience in the banking, insurance and financial industries, including seven years teaching graduate-level MIS and Statistics while an instructor in the College of Business at Kent State University. Tony served as Vice President of Applied Technologies for NeuralWare, Inc., a neural network software company. He was also the Research Coordinator for LakeShore Trading, a successful futures and options trading firm on the Chicago Board of Trade. TIM GRAETTINGER, PhD is a primary instructor for The Modeling Agency's "Predictive Analytics & Data Mining I: Model Development" course and a Senior Consultant. Tim has worked with clients to develop solutions to significant business problems in healthcare, insurance, marketing, and manufacturing. He holds multiple patents for data mining inventions. Previously, Dr. Graettinger was the Director of Analytics and Data Mining at Yankelovich, Inc., where he was responsible for strategic technology consulting and the design and development of premium data mining and web applications. Prior to that, he was Director of Research at the Institute for Software Research. Tim was also a Vice President and Senior Scientist at Analytika, Inc., a healthcare informatics company. Finally, he was VP of Product Development at NeuralWare, a neural network software company.

Relevant Government Agencies

Air Force, Army, Navy & Marine Corps, Intelligence Agencies, DOD & Military, Office of the President (includes OMB), Dept of Agriculture, Dept of Commerce, Dept of Education, Dept of Energy, Dept of Health & Human Services, Dept of Homeland Security, Dept of Housing & Urban Development, Dept of the Interior, Dept of Justice, Dept of Labor, Dept of State, Dept of Transportation, Dept of Treasury, Dept of Veterans Affairs, EPA, GSA, USPS, SSA, NASA, Other Federal Agencies, Legislative Agencies (GAO, GPO, LOC, etc.), Judicial Branch Agencies, State Government, County Government, City Government, Municipal Government, CIA, FEMA, Office of Personnel Management, Coast Guard, National Institutes of Health, FAA, Census Bureau

Mon-Fri, Dec 5-9, 2011, 8:30am - 5:00pm

Los Angeles, CA

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