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This course provides an overview of data mining and the fundamentals of using PASW Modeler. Using the CRISP-DM methodology, the principles and practice of data mining are illustrated. The course structure follows the stages of a typical data mining project, from reading data, to data exploration, data transformation, modeling, and effective interpretation of results. The course provides training in the basics of how to read, explore, and manipulate data with PASW Modeler, and then create and use successful models.
This is a basic course for anyone with little or no experience using PASW Modeler (formerly Clementine) or with data mining in general.
You should have:
It would be helpful if you had an understanding of your organization's data, as well as any of your organization's business issues that are relevant to the use of data mining. No statistical background is necessary.