Introduction to Predictive Analytics with IBM SPSS Modeler (Data Mining)
Introduction
This course provides you with an overview of data mining and the fundamentals of using IBM SPSS Modeler. The principles and practice of data mining are illustrated using the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology.
The course structure follows the stages of a standard data mining project, from reading data, to data exploration, data transformation, modelling, and effective interpretation of results. This course provides training in the basics of how to read, explore, and manipulate data with SPSS Modeler, build and deploy use successful models to achieve specific business goals.
At the end of the course the attendees should be proficient in using the IBM SPSS Modeler software and be able equipped with the skills necessary to deploy analytics solutions in their organisation.
Duration
3 days
Target Audience
Customers who have purchased IBM SPSS Modeler and wish to expand their in-house skills.
Organisations/customers with large volumes of data, who would like to use this data to support evidence based decision making.
Prerequisites
Computer literate. Attendees will also benefit if they have an understanding of their organization’s data.
Contact us!
For further information get in touch with us!