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Overview

This course focuses on using analytical models to predict a categorical field, such as churn, fraud, response to a mailing, pass/fail exams, and machine break-down. Students are introduced to decision trees such as CHAID and CR Tree, traditional statistical models such as Logistic Regression, and machine learning models such as Neural Networks. Students will learn about important options in dialog boxes, how to interpret the results, and explain the major differences between the models.
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What You'll Learn

Please refer to course overview

Who Should Attend

Analytics business users who have completed the Introduction to IBM SPSS Modeler and Data Mining course and who want to become familiar with analytical models to predict a categorical field (yes/no churn, yes/no fraud, yes/no response to a mailing, pass/fail exams, yes/no machine break-down, and so forth).
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Prerequisites

  • Experience using IBM SPSS Modeler including familiarity with the Modeler environment, creating streams, reading data files, exploring data, setting the unit of analysis, combining datasets, deriving and reclassifying fields, and a basic knowledge of modeling.
  • Prior completion of Introduction to IBM SPSS Modeler and Data Science (v18.1) is recommended.

Learning Journey

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1: Introduction to predictive models for categorical targets

  • Identify three modeling objectives
  • Explain the concept of field measurement level and its implications for selecting a modeling technique
  • List three types of models to predict categorical targets

2: Building decision trees interactively with CHAID

  • Explain how CHAID grows decision trees
  • Build a customized model with CHAID
  • Evaluate a model by means of accuracy, risk, response and gain
  • Use the model nugget to score records

3: Building decision trees interactively with CR Tree and Quest

  • Explain how CR Tree grows a tree
  • Explain how Quest grows a tree
  • Build a customized model using CR Tree and Quest
  • List two differences between CHAID, CR Tree, and Quest

4: Building decision trees directly

  • Customize two options in the CHAID node
  • Customize two options in the CR Tree node
  • Customize two options in the Quest node
  • Customize two options in the C5.0 node
  • Use the Analysis node and Evaluation node to evaluate and compare models
  • List two differences between CHAID, CR Tree, Quest, and C5.0

5: Using traditional statistical models

  • Explain key concepts for Discriminant
  • Customize one option in the Discriminant node
  • Explain key concepts for Logistic
  • Customize one option in the Logistic node

6: Using machine learning models

  • Explain key concepts for Neural Net
  • Customize one option in the Neural Net node
This course is not associated with any Certification.

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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