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IBM SPSS Modeler Foundations (V18.2)

  • Tuition USD $1,650
  • Reviews star_rate star_rate star_rate star_rate star_half 361 Ratings
  • Course Code 0A069G
  • Duration 2 days
  • Available Formats Classroom, Virtual

Course Eligible for IBM Digital Badge

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.

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

How do I enroll?

A comprehensive listing of ExitCertified courses can be found here. You can register directly for the required course/location when you select "register". If you have any questions or prefer to speak with an ExitCertified education consultant directly, please submit your query here. A representative will contact you shortly.

How do I pay for a class?

You can pay at the time of registration using credit card (Mastercard/Visa/American Express) cheque or PO.

What if I have training credits?

ExitCertified honors all savings programs from the partners we work with. ExitCertified also offers training credits across multiple partners through our FLEX Account.

When does class start/end?

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

Lunchtime?

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.

The course on Redshift was excellent! As a DBA/DA I found there is a quite a bit of learning for Oracle professionals to move into AWS.

Thank you for the opportunity which let me enjoy the Core Spring class. Looking forward for more classes

Ken is a great AWS Architecting instructor. He know's AWS products very well.

Course Material was well presented and labs were interesting and hand on experience

Great instructor and good class material. Labs were helpful and put together very well.

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