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IBM SPSS Modeler Foundations on IBM Cloud Pak for Data (V2.1.X) eLearning

  • Tuition USD $149
  • Reviews star_rate star_rate star_rate star_rate star_half 1950 Ratings
  • Course Code 6X140G-WBT
  • Duration 6 hours
  • Available Formats Self Paced

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

SPSS Modeler is one of the add-on modules on IBM Cloud Pak for Data. This course reviews the basics of how to import, explore, and prepare data, and introduces the student to machine learning models with SPSS Modeler on Cloud Pak for Data. This training also applies to IBM Cloud Pak for Data System and IBM Cloud Private for Data.

Skills Gained

  • Introduction to SPSS Modeler on IBM Cloud Pak for Data
  • Import and explore the data
  • Integrate data
  • Transform fields
    Identify relationships
    Introduction to modeling
     

Who Can Benefit

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 Details

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 

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.

The learning format is great and allows one to still keep up with daily work activities.

So far I have been very pleased with the quality and the content of the instruction. This is my second course.

the lab work is relevant to our enterprise projects. Instructor's content delivery(speech) is great, nice pauses to allow students to assimilate the data.

This is my first class with ExitCertified which was well executed in my opinion.

The course material was laid out logically. There are a lot of aws services and concepts to cover in the three days but overall was a good learning experience.

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