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0A069G – IBM SPSS Modeler Foundations (V18.2)

Home / 0A069G – IBM SPSS Modeler Foundations (V18.2)

Course Outline:

Course Outline

Introduction to IBM SPSS Modeler
- Introduction to data science
- Describe the CRISP-DM methodology
- Introduction to IBM SPSS Modeler
- 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

Course Audience:

Audience:

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

Prerequisites:

  • Knowledge of your business requirements

Course Offerings:

Instructor Led In Classroom

Newcomp can directly deliver  IBM Business Analytics courses for Business Intelligence, Performance Management, and IBM Advanced Analytics through the use of in-class training facilities.

Currently,  in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor Led Online

Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples

ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

Self Paced

Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC.  Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.

  • Course Outline
  • Course Audience
  • Course Offerings
  • Related Courses

Course Outline

Introduction to IBM SPSS Modeler
- Introduction to data science
- Describe the CRISP-DM methodology
- Introduction to IBM SPSS Modeler
- 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

Audience:

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

Prerequisites:

  • Knowledge of your business requirements

Instructor Led In Classroom

Newcomp can directly deliver  IBM Business Analytics courses for Business Intelligence, Performance Management, and IBM Advanced Analytics through the use of in-class training facilities.

Currently,  in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor Led Online

Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples

ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

Self Paced

Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC.  Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.