Data Mining: Principles and Best PracticesBusiness Knowledge Series course Presented by John Elder IV, Ph.D., President, Elder Research Inc.; or Gerhard Pilcher, Senior Scientist, Elder Research Inc.; or Mike Thurber, Senior Data Miner, Elder Research Inc. Data mining is an advanced science that can be difficult to do correctly. This course introduces you to the power and potential of data mining and shows you how to discover useful patterns and trends from data. Valuable practical advice, acquired during years of real-world experience, focuses on how to properly build reliable predictive models and interpret your results with confidence. Examples are drawn from several industries, including credit scoring, fraud detection, biology, investments, and cross-selling. This course is not hands-on training for SAS Enterprise Miner software, although SAS Enterprise Miner is used by the instructor to illustrate specific modeling techniques and by students for their classroom exercises. Learn how to
Who should attendThose who have a strong interest in solving a business problem, and who have a technical background, especially familiarity with computer programming and statistics
Before attending this course, you should
For comprehensive, hands-on training on SAS Enterprise Miner, attend the Applied Analytics Using SAS Enterprise Miner course. This course addresses SAS Enterprise Miner software.
Executive Summary
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Please Note: The classroom course is currently not scheduled, please call us on 022-62501761 or email us.