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Advanced Data Preparation with PASW Modeler

Course description:

In this course, you'll examine additional topics to aid in the preparation of data for a successful data mining project. You'll learn how to partition records from files, handle missing data, modify fields and create new fields, and work with dates, strings and sequence data.

US Customers - Select this link to begin course registration
Canadian Customers - Select this link to begin course registration

Please note: If you are paying by Check or PO, you will need to download the Public Training or the Academic Training registration form and fax or mail the completed form to SPSS along with your payment.

Subscribers: If you are a Training Subscriber please select "Call Me" as the payment type when preregistering for this course. You will be contacted by a sales representative to verify your subscription — otherwise you will be invoiced for the training.

Duration and Cost:

Costs are for United States courses only. Information about other countries can be found at the worldwide offices page.

Who Should Attend:

This follow-up course to “Introduction to PASW Modeler and Data Mining” is designed for anyone who wishes to become familiar with the full range of techniques available in PASW Modeler for data and file manipulation.

Prerequisite:

General computer literacy. Some experience using PASW Modeler (formerly Clementine) including familiarity with the PASW environment, creating streams, reading data files, and doing simple data exploration and manipulation. Prior completion of “Introduction to PASW Modeler and Data Mining” is strongly encouraged.

No statistical background is necessary.

Course Content:

The full table of contents for this course is available.