SPSS Training and Education Services

ShowCase Analyzer

Course description:

This course provides Analyzer users and administrators with comprehensive, hands-on training. Learn the basics of creating and managing reports based on multidimensional databases, and how to perform the administrative tasks for setting security and managing the Analyzer environment. The course also includes instruction on creating reports based on relational data. Training will emphasize the use of Analyzer functions for performing the following tasks:

Identifying the functionality of the various components of the Analyzer environment.
Accessing data in a multidimensional database using the Analyzer application.
Creating ad-hoc reports to conduct trend, financial, sale, and "what-if" analyses.
Creating reports that include advanced features such as pivoting, traffic lighting, sorting, ranking, filtering, and calculations.
Designing custom reports and pinboards for viewing data.
Personalizing your Analyzer environment with features such as Personal Variables and Point of View.
Managing security and user access to reports.
Using ShowCase Query to create relational data models and lookups, and using Analyzer to work with the relational 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.

Two Days
9:00 a.m. to approximately 4:00/4:30 p.m. each day
$1199

Who Should Attend:

Business analysts, researchers and others who will build and interpret data mining models should attend this course.

Prerequisite:

Attendees should have an understanding of the data mining process (at the level of our Data Mining: Overview course) and should be familiar with basic research methods (at the level of our Statistical Analysis Using SPSS course). Training in advanced statistical methods is not necessary, but those with such training will gain a deeper understanding of the models. Those who wish to run hands-on exercises using the software tools discussed (SPSS, SPSS AnswerTree, and SPSS Clementine) should have a basic proficiency in the respective program(s).

Course Content:

The full table of contents for this course is available.

Association rules / market basket analysis
Introduction / taxonomy of methods (what to use when)
Inferential techniques (discriminant, regression, logistic)
Time series
Cluster analysis (K-Means and Kohonen)
Validation / evaluating models
Decision trees (AnswerTree, Clementine: C5.0)
Introduction to Analyzer
Basic Reporting
Advanced Features for Reporting
Custom Reports
Pinboards
User Preferences
Introduction to Administration
The Administration Tools Client
The Analysis Server Console
Relational Data Access