IBM SPSS Modeler Foundations on IBM Cloud Pak for Data (V2.1.X) eLearning

Course Code: 6X140G
Duration: 6 Hours
Price: Contact For Pricing

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Course Description

  • SPSS Modeler is one of the add-on modules on IBM Cloud Pak for Data. This course reviews the basics of how to import, explore, and prepare data, and introduces the student to machine learning models with SPSS Modeler on Cloud Pak for Data. This training also applies to IBM Cloud Pak for Data System and IBM Cloud Private for Data.

Objectives

  • Unit 1 Introduction to SPSS Modeler on IBM Cloud Pak for Data 
    • Introduction to data science 
    • Describe the CRISP-DM methodology 
    • Introduction to SPSS Modeler 
    • Build and deploy models 

    Unit 2 Import and explore the data 
    • Describe key terms in working with data 
    • Import and export data 
    • Audit the data  
    • Check for invalid values 
    • Define blank values 

    Unit 3 Integrate data 
    • Identify the unit of analysis 
    • De-duplicate, aggregate, create flag fields, transpose data 
    • Append and merge datasets 
    • Append datasets with incomplete data 
    • Merge datasets with incomplete data 

    Unit 4 Transform fields 
    • Use the Control Language for Expression Manipulation 
    • Derive fields 
    • Reclassify fields 
    • Bin fields 
    • Fill fields 

    Unit 5 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 

    Unit 6 Introduction to modeling 
    • Identify three types of machine learning models 
    • Identify three types of supervised models 
    • Identify unsupervised models 
    • Deploy machine learning models 

Audience

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

Prerequisites

  • Knowledge of your business requirements

Content

  • Unit 1 Introduction to SPSS Modeler on IBM Cloud Pak for Data 
    • Introduction to data science 
    • Describe the CRISP-DM methodology 
    • Introduction to SPSS Modeler 
    • Build and deploy models 
    Unit 2 Import and explore the data 
    • Describe key terms in working with data 
    • Import and export data 
    • Audit the data  
    • Check for invalid values 
    • Define blank values 
    Unit 3 Integrate data 
    • Identify the unit of analysis 
    • De-duplicate, aggregate, create flag fields, transpose data 
    • Append and merge datasets 
    • Append datasets with incomplete data 
    • Merge datasets with incomplete data 
    Unit 4 Transform fields 
    • Use the Control Language for Expression Manipulation 
    • Derive fields 
    • Reclassify fields 
    • Bin fields 
    • Fill fields 
    Unit 5 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 
    Unit 6 Introduction to modeling 
    • Identify three types of machine learning models 
    • Identify three types of supervised models 
    • Identify unsupervised models 
    • Deploy machine learning models