SPSS Data Science and Statistics Universe

Online Self Paced Data Science and Statistics Training

A comprehensive catalogue of fully documented on demand and self paced training programs that enhance the IBM SPSS Statistics and Modeler Suite of products.

Enhanced Meta Data Node for IBM SPSS Modeler

Enhanced Metadata for IBM SPSS Modeler provides a new Metadata node which addresses a number of the limitations of the existing Type node: https://www.sv-europe.com/product/enhanced-metadata-node-for-ibm-spss-modeler/

Regular Expressions for IBM SPSS Modeler

Regular expressions are strings used to describe particular character patterns. These expressions can be used to match and group text fragments, search for patterns and replace them, or split text into multiple pieces. Example uses include: Extracting components from log files such as time, severity and descriptive text Converting different phone number styles into a standard format Splitting URLs (web page addresses) into the individual components that make up each address

SPSS Key Driver Analysis Tool

The SPSS KAD Tool simplifies and automates the analysis process making it accessible to non statisticians. Wherever we have a target variable (i.e. a “supervised” model) we can look to use KDA to understand the influence/importance of the predictor variables. We look to understand, and enumerate, the relative importance of drivers like: • Satisfaction (Customer, Employee, Citizen, Patient, Student, etc.) • Loyalty • Purchase Intent • Churn Intent