Data Mining Techniques: Theory and PracticeBusiness Knowledge Series course Presented by Gordon S. Linoff, co-founder of Data Miners, Inc. and co-author of Data Mining Techniques and Mastering Data Mining This course introduces a data mining methodology that is a superset to the SAS SEMMA methodology around which SAS Enterprise Miner is organized. The course also introduces a wide range of data mining algorithms and both theoretical knowledge and practical skills. In this class, you work through all the steps of a data mining project, beginning with problem definition and data selection, and continuing through data exploration, data transformation, sampling, portioning, modeling, and assessment. Learn how to
Who should attendBusiness analysts, their managers, and statisticians
No prior knowledge of statistical or data mining tools is required. This course addresses SAS Enterprise Miner software.
Introduction to Data Mining
BDMT12.
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United States
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Dates | Location | Time | Language | Fee | Add to Cart |
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14-16 MAY 2018 | New York, NY | 09:00 AM-05:00 PM EDT | English | 2475 USD / 5.1 EPTO | ![]() |
04-06 JUN 2018 | Atlanta, GA | 09:00 AM-05:00 PM EDT | English | 2475 USD / 5.1 EPTO | ![]() |