IBM SPSS Modeler Foundations V18.2 0A069G Training Course |...

• Data scientists
• Business analysts
• Clients who are new to IBM SPSS Modeler or want to find out more about using it

Introduction to IBM SPSS Modeler

• Introduction to data science

• Describe the CRISP-DM methodology

Build models and apply them to new data

Collect initial data

• Describe field storage

• Describe field measurement level

• Import from various data formats

Export to various data formats

Understand the data

• Audit the data

• Check for invalid values

• Take action for invalid values

Define blanks

Set the unit of analysis

• Remove duplicates

• Aggregate data

• Transform nominal fields into flags

Restructure data

Integrate data

• Append datasets

• Merge datasets

Sample records

Transform fields

• Use the Control Language for Expression Manipulation

• Derive fields

• Reclassify fields

Bin fields

Further field transformations

• Use functions

• Replace field values

Transform distributions

Examine relationships

• Examine the relationship between two categorical fields

• Examine the relationship between a categorical and continuous field

Examine the relationship between two continuous fields

Introduction to modeling

• Describe modeling objectives

• Create supervised models

Create segmentation models

Improve efficiency

• Use database scalability by SQL pushback

• Process outliers and missing values with the Data Audit node

• Use the Set Globals node

• Use parameters

Use looping and conditional execution

Useful links: IBM Training | Data and Analytics training at CourseMonster | CourseMonster course page

Additional workplace outcomes: Participants can explain where IBM SPSS Modeler Foundations V18.2 0A069G Training Course | CourseMonster fits in a wider IBM skills roadmap, identify related certifications or follow-on courses, and apply the concepts to real project, operations or service delivery scenarios.

Prerequisites

• No formal prerequisites are required unless specified by the vendor for IBM SPSS Modeler Foundations V18.2 0A069G
• A basic understanding of the relevant business, technology or project environment is recommended
• Review the official vendor guidance before booking an exam or certification assessment

Introduction to IBM SPSS Modeler

• Introduction to data science

• Describe the CRISP-DM methodology

Build models and apply them to new data

Collect initial data

• Describe field storage

• Describe field measurement level

• Import from various data formats

Export to various data formats

Understand the data

• Audit the data

• Check for invalid values

• Take action for invalid values

Define blanks

Set the unit of analysis

• Remove duplicates

• Aggregate data

• Transform nominal fields into flags

Restructure data

Integrate data

• Append datasets

• Merge datasets

Sample records

Transform fields

• Use the Control Language for Expression Manipulation

• Derive fields

• Reclassify fields

Bin fields

Further field transformations

• Use functions

• Replace field values

Transform distributions

Examine relationships

• Examine the relationship between two categorical fields

• Examine the relationship between a categorical and continuous field

Examine the relationship between two continuous fields

Introduction to modeling

• Describe modeling objectives

• Create supervised models

Create segmentation models

Improve efficiency

• Use database scalability by SQL pushback

• Process outliers and missing values with the Data Audit node

• Use the Set Globals node

• Use parameters

Use looping and conditional execution

Useful links: IBM Training | Data and Analytics training at CourseMonster | CourseMonster course page

Suggested learning path: After this course, compare related options via the links in the overview and the IBM training category.

Exam and certification details

This course may support a vendor exam, digital badge or professional certification depending on the selected delivery option. Delegates should confirm exam inclusion, voucher availability, prerequisites, pass mark and version before booking.

Official vendor training information: IBM Training.