IBM SPSS Modeler Advanced

 

IBM SPSS Modeler offers the predictive power of proven statistical algorithms combined with the usability and customizability of an intuitive graphical user interface. SPSS Modeler enables users to proactively add predictive analytics and data mining capabilities to their organization.

As part of our valuable curriculum of IBM SPSS training, Ironside provides instructor-led classes that introduce users to the advanced data preparation capabilities of SPSS Modeler and give them the detailed understanding of these principles necessary to create data sets that will yield the highest productivity possible when modeled.

 

Course Outline

This three-day class is suited for users from any industry who have experience using IBM SPSS Modeler and who want to fully leverage the program’s robust data preparation options.During the Advanced Data Preparation class, students will expand their knowledge of SPSS Modeler by managing, sequencing, transforming, sampling, and optimizing data files using the tools available in the program. At the course’s conclusion, students will have a sophisticated grasp of the data preparation process an will be able to fully capitalize on the data available in their organizations. Each topic will be highlighted with in-depth demos, Q&A sessions, and tips and techniques drawn from over 20 years of cross industry experience.

Observations

This three-day class is suited for users from any industry who have experience using IBM SPSS Modeler and who want to fully leverage the program’s robust data preparation options.

During the Advanced Data Preparation class, students will expand their knowledge of SPSS Modeler by managing, sequencing, transforming, sampling, and optimizing data files using the tools available in the program. At the course’s conclusion, students will have a sophisticated grasp of the data preparation process an will be able to fully capitalize on the data available in their organizations.

Each topic will be highlighted with in-depth demos, Q&A sessions, and tips and techniques drawn from over 20 years of cross industry experience.

Pre-Requisites

  • A good comprehension of Microsoft Windows and the Office suite is mandatory.
  • Some understanding of statistical concepts is beneficial.

High Level Curriculum

  • Handling Strings and Dates
  • Transforming Variables
  • Managing Anomalous Values
  • Sequencing Records
  • Creating Data Samples
  • Optimizing Parameters
  • Automatic Data Preparation
  • Data Integrations