IBM SPSS Modeler Foundations (V18.2) – 0E069G

Course Name:

IBM SPSS Modeler Foundations (V18.2)

0E069G

Skill Level:

Basic

Modality:

SPVC – Self-Paced Virtual Training

Duration:

2 Day/s

Price:
Request Quote

Overview:

This course teaches how to use IBM SPSS Modeler 18.2.

Contains PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.

_x000D_
_x000D_

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 CR – Classroom TrainingISP-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.

_x000D_
_x000D_

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


Enroll here

Please enable JavaScript in your browser to complete this form.
Email
Multiple Choice
How did you hear about us?
Yes, I would like to receive special offers from CRS.
Yes, I would like to receive special offers from CRS.


Target Audience:

    _x000D_

  • Data scientists
  • _x000D_

  • Business analysts
  • _x000D_

  • Clients who are new to IBM SPSS Modeler or want to find out more about using it
  • _x000D_

[List]

Prerequisites:

    _x000D_

  • Knowledge of your business requirements
  • _x000D_

Topic:

Introduction to IBM SPSS Modeler 

• Introduction to data science 

• DesCR – Classroom Trainingibe the CR – Classroom TrainingISP-DM methodology 

• Introduction to IBM SPSS Modeler 

• Build models and apply them to new data  

 

Collect initial data 

• DesCR – Classroom Trainingibe field storage 

• DesCR – Classroom Trainingibe 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 

• DesCR – Classroom Trainingibe modeling objectives 

• CR – Classroom Trainingeate supervised models 

• CR – Classroom Trainingeate 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

Objective:

Introduction to IBM SPSS Modeler 

• Introduction to data science 

• DesCR – Classroom Trainingibe the CR – Classroom TrainingISP-DM methodology 

• Introduction to IBM SPSS Modeler 

• Build models and apply them to new data  

 

Collect initial data 

• DesCR – Classroom Trainingibe field storage 

• DesCR – Classroom Trainingibe 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 

• DesCR – Classroom Trainingibe modeling objectives 

• CR – Classroom Trainingeate supervised models 

• CR – Classroom Trainingeate 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

Remarks:

Prior to enrolling, IBM Employees must follow their Division/Department processes to obtain approval to attend this public training class. Failure to follow Division/Department approval processes may result in the IBM Employee being personally responsible for the class charges.

_x000D_
_x000D_

GBS practitioners that use the EViTA system for requesting external training should use that same process for this course. Go to the EViTA site to start this process:

_x000D_
_x000D_

http://w3.ibm.com/services/gbs/evita/BCSVTEnrl.nsf

_x000D_
_x000D_

Once you enroll in a GTP class, you will receive a confirmation letter that should show:

_x000D_
_x000D_

    _x000D_

  • The current GTP list price
  • _x000D_

  • The 20% discounted price available to IBMers. This is the price you will be invoiced for the class.
  • _x000D_

Category:

Data and AI

Product Name:

IBM SPSS Modeler

Badge and Certification Info:

0

Brand: 

Analytics

Follow on Courses:

 

 

Replaced By:

Contains PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.

spss;ibm spss;analytics;modeler

VMWare-Based (complex) (12)

Lab Access Duration: 30

 

CRS is the top Global Training Provider for some of the world’s biggest brands.

Call Now +27 12 023 1959