IBM SPSS Modeler Foundations (V18.2)
- Course Code 0A069G
- Duration 2 days
Course Delivery
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Course Delivery
This course is available in the following formats:
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Company Event
Event at company
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Elearning (Self-paced)
Self paced electronic learning
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Public Classroom
Traditional Classroom Learning
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Virtual Learning
Learning that is virtual
Request this course in a different delivery format.
Course Overview
TopThis 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.
Course Schedule
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- Delivery Format: Virtual Learning
- Date: 14-15 July, 2024
- Location: Virtual
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- Delivery Format: Virtual Learning
- Date: 13-14 October, 2024
- Location: Virtual
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- Delivery Format: Virtual Learning
- Date: 01-02 December, 2024
- Location: Virtual
Target Audience
Top- Data scientists
- Business analysts
- Clients who are new to IBM SPSS Modeler or want to find out more about using it
Course Objectives
TopPlease refer to course overview.
Course Content
TopIntroduction 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
Course Prerequisites
Top- Knowledge of your business requirements
- #000000
- 0A069G
- IBM SPSS Modeler Foundations (V18.2)
- Business Analysis
- 0A069G | IBM SPSS Modeler Foundations (V18.2) | Training Course | IBM.
- IBM