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IBM SPSS Modeler Foundations (V18.2) SPVC

  • Tuition USD $650
  • Reviews star_rate star_rate star_rate star_rate star_half 1926 Ratings
  • Course Code 0E069G-SPVC
  • Duration 2 days
  • Available Formats Self Paced

This IBM Self-Paced Virtual Class (SPVC) includes:
- PDF course guide available to attendee during and after course
- Lab environment where students can work through demonstrations and exercises at their own pace

Contains PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.

This course provides the foundations of using IBM SPSS Modeler and introduces the participant to data science. The principles and practice of data science are illustrated using the CRISP-DM methodology. The course provides training in the basics of how to import, explore, and prepare data with IBM SPSS Modeler v18.2, and introduces the student to modeling.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

Skills Gained

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

Who Can Benefit

  • 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 Details

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

When does class start/end?

Classes begin promptly at 9:00 am, and typically end at 5:00 pm.

Does the course schedule include a Lunchbreak?

Lunch is normally an hour long and begins at noon. Coffee, tea, hot chocolate and juice are available all day in the kitchen. Fruit, muffins and bagels are served each morning. There are numerous restaurants near each of our centers, and some popular ones are indicated on the Area Map in the Student Welcome Handbooks - these can be picked up in the lobby or requested from one of our ExitCertified staff.

How can someone reach me during class?

If someone should need to contact you while you are in class, please have them call the center telephone number and leave a message with the receptionist.

What languages are used to deliver training?

Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.

What does GTR stand for?

GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.

Does ExitCertified deliver group training?

Yes, we provide training for groups, individuals, and private on sites. View our group training page for more information.

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Communications prior to class were clear but could've been provided earlier.

The course provided information that I was interested in from a architecture point of view.

Excellent training experience from start to finish. Lab environment was easy accessible and very easy to use/follow.

The course is well organized, and I would recommend it. The cadence can be faster.

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