IBM SPSS Modeler Foundations (V18.2) Training

IBM SPSS Modeler Foundations (V18.2) Training is designed to help professionals develop a better understanding of the foundations of IBM SPSS Modeler.

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Course Overview

IBM SPSS Modeler Foundations (V18.2) Training is designed to help professionals develop a better understanding of the foundations of IBM SPSS Modeler.

This technical training program familiarizes you with data science and explains its practice and principles.

It teaches you the techniques to import, prepare, and export data with IBM Modeler v18.2 and helps you gain knowledge about modeling.

Check out the Enterprise Training program, which is perfect for organizations & companies.

You will get to learn about collecting initial data, understanding the data, and integrating data. IBM SPSS Modeler Foundations (V18.2) Training teaches you to set the unit of analysis, and transform fields and helps you improve efficiency and examine relationships.

It is suitable for business analysts and data scientists who want to extend their knowledge base and boost their credibility.

Mode of Training

🏫 Classroom 💻 Live Online 🧪 Blended 👨‍👩‍👧‍👦 Private Group

What you will learn

Developed effectuality.
Elaborating about the modeling.
Examining about the relationships.
Transformations for further fields.
Transformed fields.
Integrating the data.
Setting and analyzing the units.
Understanding the data.
Collecting an initial data.

Who Should Attend This Course?

This training is recommended for Business Analysts who want to enhance their skills for the same.

However, the target audience for this course are data scientists.

Prerequisites

Understand your business requirements.

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📘 IBM SPSS Modeler Foundations (V18.2) Outline

Introduction to data science
Describe the CRISP-DM methodology
Introduction to IBM SPSS Modeler
Build models and apply them to new data

Describe field storage
Describe field measurement level
Import from various data formats
Export to various data formats

Audit the data
Check for invalid values
Take action for invalid values
Define blanks

Remove duplicates
Aggregate data
Transform nominal fields into flags
Restructure data

Append datasets
Merge datasets
Sample records

Derive fields
Reclassify fields
Bin fields

Use functions
Replace field values
Transform distributions

Examine the relationship between two categorical fields
Examine the relationship between a categorical and continuous field
Examine the relationship between two continuous fields

Describe modeling objectives
Create supervised models
Create segmentation models

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

Still have questions?

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What You Get with Microtek Learning

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✓ Certified Instructor-led Training
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✓ Official Student Handbooks

Measurable Learning Outcomes

✓ Pre- & Post-Training Assessments
✓ Practice Tests
✓ Exam-Oriented Curriculum

Real-World Skill Building

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✓ Interactive Online Courses
✓ Peer Collaboration (Not in self-paced)

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