IBM SPSS Modeler Foundations on IBM Cloud Pak for Data (V2.5.x) eLearning

Introduction to SPSS Modeler on IBM Cloud Pak for Data • Introduction to data science • Describe the CRISP-DM methodology • Introduction to SPSS Modeler • Build models and apply them to new data Import and explore the data • Describe key terms in working with data • Import and export data • Audit the data • Define missing values Integrate data • Identify the unit of analysis • Remove duplicate records and aggregate data • Append and merge datasets • Append and merge datasets with incomplete data Transform fields • Use the Control Language for Expression Manipulation • Derive fields • Use functions • Reclassify fields Identify relationships • Overview of the nodes to use • Explore the relationship between two categorical fields • Explore the relationship between a categorical field and a continuous field • Explore the relationship between two continuous fields Introduction to Modeling • Identify three types of machine learning models • Identify three types of supervised models • Identify unsupervised models • Deploy machine learning models

Clients who are new to IBM SPSS Modeler on IBM Cloud Pak for Data or who want to find out more about using it.

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• Introduction to SPSS Modeler on IBM Cloud Pak for Data • Import and explore the data • Integrate data • Transform fields • Identify relationships • Introduction to Modeling