Contact Us info@learnquest.com

??WelcomeName??
??WelcomeName??
photo

Thank you for your interest in LearnQuest.

Your request is being processed and LearnQuest or a LearnQuest-Authorized Training Provider will be in touch with you shortly.

photo

Thank you for your interest in Private Training.

We look forward to helping you develop the perfect training solution to help you meet your company's goals.

For immediate assistance, speak with one of our representatives using the chat module below. Otherwise, LearnQuest or a LearnQuest-Authorized Training Provider will be in touch with you shortly.

photo

Thank you for your interest in LearnQuest!

Now, you will be able to stay up-to-date on our latest course offerings, promotions, and training discounts. Watch your inbox for upcoming special offers.

title

Date: xxx

Location: xxx

Time: xxx

Price: xxx

Please take a moment to fill out this form. We will get back to you as soon as possible.

All fields marked with an asterisk (*) are mandatory.

IBM SPSS Modeler Foundations (V18.2)

Course content updated by LearnQuest
Price
875 - 1,630 USD
16 Hours
0A069G
Classroom Training, Online Training
IBM SPSS Modeler Foundations (V18.2) - Code: 0A069G
IBM Business Partner
Prices reflect a 22.5% discount for IBM employees.
Prices shown are the special AWS Partner Prices.
Prices reflect the Capgemini employee discount.
Prices reflect the UPS employee discount.
Prices reflect the ??democompanyname?? employee discount.
GSA Private/Onsite Price: ??gsa-private-price??
For GSA pricing, please go to GSA Advantage.

Special Offer

Save up to $500 on Cloud Training Courses

Get access to authorized cloud training and save hundreds for your team. Use promo code CLOUD10. Offer expires on February 18, 2022.

More Information ?

Class Schedule

Delivery Formats

Sort results

Filter Classes

Guaranteed to Run

Modality

Location

Language

Date

  • Learn on Demand
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 875 USD
  • Date: 7-Feb-2022 to 8-Feb-2022
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 1,630 USD
  • Date: 28-Feb-2022 to 1-Mar-2022
    Time: 9AM - 5PM US Eastern
    Location: Virtual
    Language: English
    Delivered by: LearnQuest
    Price: 1,630 USD
View Global Schedule

Course Description

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.

Objectives

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

Topics

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

Recognition

When you complete the Instructor-Led version of this course, you will be eligible to earn an IBM Training Badge that can be displayed on your website, business cards, and social media channels to demonstrate your mastery of the skills you learned here.

Learn more about our IBM SPSS Modeler Badge Program →
Report Studio Foundation IBM Digital Badge

This course is eligible for the IBM SPSS Modeler Foundations (V18.2) - Code: 0A069G

2020 Top 20 Training Industry Company - IT Training

Need Help?

Call us toll free at 877-206-0106 or e-mail us at info@learnquest.com

Personalized Solutions

Need a personalized solution for your training? Contact us, and one of our advisors will help you find the best solution to your training needs.

Contact us

Need Help?

Do you have a question about the courses, instruction, or materials covered? Do you need help finding which course is best for you?

Talk to us

Self-Paced Training Info

Learn at your own pace with anytime, anywhere training

  • Same in-demand topics as instructor-led public and private classes.
  • Standalone learning or supplemental reinforcement.
  • e-Learning content varies by course and technology.
  • View the Self-Paced version of this outline and what is included in the SPVC course.
  • Learn more about e-Learning

Course Added To Shopping Cart

bla

bla

bla

bla

bla

bla

Self-Paced Training Terms & Conditions

THIS IS A SELF-PACED VIRTUAL CLASS. AFTER YOU REGISTER, YOU HAVE 30 DAYS TO COMPLETE THE COURSE.

This is a Self-Paced virtual class; it is intended for students who do not need the support of a classroom instructor. If you feel you would better benefit from having access to a Subject Matter Expert, please enroll in the Instructor-Led version instead. Minimal technical support is provided to address issues with accessing the platform or problems within the lab environment.

Before you enroll, review the system requirements to ensure that your system meets the minimum requirements for this course. AFTER YOU ARE ENROLLED IN THIS COURSE, YOU WILL NOT BE ABLE TO CANCEL YOUR ENROLLMENT. You are billed for the course when you submit the enrollment form. Self-Paced Virtual Classes are non-refundable. Once you purchase a Self-Paced Virtual Class, you will be charged the full price.

After you receive confirmation that you are enrolled, you will be sent further instructions to access your course material and remote labs. A confirmation email will contain your online link, your ID and password, and additional instructions for starting the course.

You can start the course at any time within 12 months of enrolling for the course. After you register/start the course, you have 30 days to complete your course. Within this 30 days, the self-paced format gives you the opportunity to complete the course at your convenience, at any location, and at your own pace. The course is available 24 hours a day.

If the course requires a remote lab system, the lab system access is allocated on a first-come, first-served basis. When you are not using the elab system, ensure that you suspend your elab to maximize your hours available to use the elab system.

Click the Skytap Connectivity Test button to ensure this computer's hardware, software and internet connection works with the SPVC Lab Environment.

Click the Skytap Connectivity Documentation button to read about the hardware, software and internet connection requirements.

??group-training-form-area??
??how-can-we-help-you-area??
??personalized-form-area??
??request-quote-area??

Sorry, there are no classes that meet your criteria.

Please contact us to schedule a class.
Nothing yet
here's the message from the cart

To view the cart, you can click "View Cart" on the right side of the heading on each page
Add to cart clicker.

Purchase Information

??elearning-coursenumber?? ??coursename??
View Cart

Need more Information?

Speak with our training specialists to continue your learning journey.

 

Delivery Formats

Close

By submitting this form, I agree to LearnQuest's Terms and Conditions

heres the new schedule
This website uses third-party profiling cookies to provide services in line with the preferences you reveal while browsing the Website. By continuing to browse this Website, you consent to the use of these cookies. If you wish to object such processing, please read the instructions described in our Privacy Policy.
Your use of this LearnQuest site affirms your consent to our use of session and persistent cookies to track how you use our website.