IBM SPSS Modeler Foundations (V18.2) SPVC - 0E069G

Description

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. http://www.ibm.com/training/terms

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

Aim

Please refer to course overview.

Participant requirements

Knowledge of your business requirements

Participant

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