IBM SPSS Modeler Foundations (V18.2) – 0A069G

Course Name:

IBM SPSS Modeler Foundations (V18.2)

0A069G

Skill Level:

Basic

Modality:

ILO – Instructor Lead Online Training

Duration:

2 Day/s

Price:
Request Quote

Overview:

This course teaches how to use IBM SPSS Modeler 18.2.

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.


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Target Audience:

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

Prerequisites:

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  • Knowledge of your business requirements
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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.

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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:

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

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

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  • The current GTP list price
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  • The 20% discounted price available to IBMers. This is the price you will be invoiced for the class.
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Category:

Data and AI

Product Name:

IBM SPSS Modeler

Badge and Certification Info:

8241d1bc-8e3a-43d7-b30c-1db296f6981a

IBM SPSS Modeler Foundations (V18.2) – Code: 0A069G

https://www.CR – Classroom Trainingedly.com/org/ibm/badge/ibm-spss-modeler-foundations-v18-2-code-0a069g

https://images.CR – Classroom Trainingedly.com/images/e842a753-5ef8-41d5-9e98-4d6c8ae364af/IBM_SPSS_Modeler_Foundations__V18.2__-_Code-_0A069G.png

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Brand: 

Analytics

Follow on Courses:

 

 

Replaced By:

This course replaces : 0A008G, 0A058G

spss;ibm spss;analytics;modeler

VMWare-Based (complex) (12)

Lab Access Duration:

 

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