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Overview

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.
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What You'll Learn

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 Should Attend

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

  • Knowledge of your business requirements

Learning Journey

Coming Soon...

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

Frequently Asked Questions (FAQs)

  • Why get IBM certified?

    IBM certifications validate your skills and expertise in a wide range of technologies, including hybrid cloud, data & AI, security, IT infrastructure, and business applications.

    These certifications are globally recognized and can help you advance your career, increase your earning potential, and demonstrate your commitment to professional development.

    IBM-certified professionals are in high demand, making them valuable assets to any organization seeking to leverage IBM's innovative solutions.

  • What to expect for the examination?

    IBM offers a variety of certification exams at different levels (Basic, Intermediate, and Advanced) covering various technologies and job roles.

    Exams typically consist of multiple-choice questions and may include scenario-based questions that assess your ability to apply your knowledge in real-world situations.

    Note: Certification requirements and policies may be updated by IBM from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • How long is IBM certification valid for?

    The validity period of IBM certifications varies. Some certifications, particularly those focused on specific product versions or technologies, may have expiration dates.

    However, many IBM certifications, especially those focused on broader skills or newer technologies, do not have an expiration date.

    Note: Certification requirements and policies may be updated by IBM from time to time. We apologize for any discrepancies; do get in touch with us if you have any questions.

  • Why take this course with Trainocate?

    Here’s what sets us apart:

    - Global Reach, Localized Accessibility: Benefit from our geographically diverse training hubs in 16 countries (and counting!).

    - Top-Rated Instructors: Our team of subject matter experts (with high average CSAT and MTM scores) are passionate to help you accelerate your digital transformation.

    - Customized Training Solutions: Choose from on-site, virtual classrooms, or self-paced learning to fit your organization and individual needs.

    - Experiential Learning: Dive into interactive training with our curated lesson plans. Participate in hands-on labs, solve real-world challenges, and take on comprehensive assessments.

    - Learn From The Best: With 30+ authorized training partnerships and countless awards from Microsoft, AWS, Google – you're guaranteed learning from the industry's elite.

    - Your Bridge To Success: We provide up-to-date course materials, helpful exam guides, and dedicated support to validate your expertise and elevate your career.

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