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Clustering and Association Models with PASW Modeler

Course description:

This course demonstrates how to segment or cluster data with all the clustering techniques available in PASW Modeler. The course also provides examples of creating association models to find rules describing the relationships among a set of items, and of creating sequence models to find rules describing the relationships over time among a set of items.

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 course follows the “Introduction to PASW Modeler and Data Mining” course or the “Advanced Data Preparation with PASW Modeler” and is designed for anyone who wishes to become familiar with the full range of modeling techniques available in PASW Modeler to segment (cluster) data and to create models with association or sequence data. For people wishing to successfully build such models using PASW Modeler, this course is an essential part of the learning process.

Prerequisite:

General computer literacy. Experience using PASW Modeler, including familiarity with the PASW Modeler environment, creating streams, reading in data files, assessing data quality and handling missing data (including the Type and Data Audit nodes), basic data manipulation (including the Derive and Select nodes), and creation of models. Prior completion of the “Introduction to PASW Modeler and Data Mining” course or the “Advanced Data Preparation with PASW Modeler” course is strongly encouraged.

Course Content:

The full table of contents for this course is available.