IBM Training for IBM SPSS Modeler Foundations (V18.2)

IBM SPSS Modeler Foundations (V18.2)

Skill Level: Basic

Modality: CR – Classroom based Training or ILO – Instructor Led Online Class

Duration: 2 Day/s

Starting Price: $ – 1,306

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 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.

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Target Audience:

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

Prerequisites:

Knowledge of your business requirements

Topic:

Introduction to IBM SPSS ModelerIntroduction to data science

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

Collect initial dataDescribe field storage

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

Understand the dataAudit the data

Check for invalid values
Take action for invalid values
Define blanks

Set the unit of analysisRemove duplicates

Aggregate data
Transform nominal fields into flags
Restructure data

Integrate dataAppend datasets

Merge datasets
Sample records

Transform fieldsUse the Control Language for Expression Manipulation

Derive fields
Reclassify fields
Bin fields

Further field transformationsUse functions

Replace field values
Transform distributions

Examine relationshipsExamine the relationship between two categorical fields

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

Introduction to modelingDescribe modeling objectives

Create supervised models
Create segmentation models

Improve efficiencyUse 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

IBM Training

Objective: Introduction to IBM SPSS ModelerIntroduction to data science

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

Collect initial dataDescribe field storage

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

Understand the dataAudit the data

Check for invalid values
Take action for invalid values
Define blanks

Set the unit of analysisRemove duplicates

Aggregate data
Transform nominal fields into flags
Restructure data

Integrate dataAppend datasets

Merge datasets
Sample records

Transform fieldsUse the Control Language for Expression Manipulation

Derive fields
Reclassify fields
Bin fields

Further field transformationsUse functions

Replace field values
Transform distributions

Examine relationshipsExamine the relationship between two categorical fields

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

Introduction to modelingDescribe modeling objectives

Create supervised models
Create segmentation models

Improve efficiencyUse 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

Category: Data, Analytics, and AI

Product Name:

IBM SPSS Modeler

Badge and Certification Info:

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

Badge ID: 8241d1bc-8e3a-43d7-b30c-1db296f6981a

Brand: Analytics

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