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6X140G – IBM SPSS Modeler Foundations on IBM Cloud Pak for Data (V2.1.X)

Home / 6X140G – IBM SPSS Modeler Foundations on IBM Cloud Pak for Data (V2.1.X)

Course Outline:

Course Outline:

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

Course Audience & Prerequisites:

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.

Course Offerings:

This IBM Web-Based Training (WBT) is Self-Paced and includes:
- Instructional content available online for duration of course
- Visuals without hands-on lab exercises

  • Course Outline
  • Course Audience & Prerequisites
  • Course Offerings
  • Related Courses

Course Outline:

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.

This IBM Web-Based Training (WBT) is Self-Paced and includes:
- Instructional content available online for duration of course
- Visuals without hands-on lab exercises