IBM SPSS Modeler for IBM Cloud Pak for Data (V3.0.x) eLearning

Introduction to SPSS Modeler for 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 for IBM Cloud Pak for Data or want to find out more about using it

• Knowledge of your business requirements

• Gain introductory knowledge of SPSS Modeler for IBM Cloud Pak for Data • Learn to import, integrate and explore the data • Transform fields and identify relationships • Get an introduction to machine learning models