IBM SPSS Modeler Foundations (V18.2)

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

Skill Level: Basic

Modality: CR - Classroom based Trainng 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: _x000D_

Knowledge of your business requirements

_x000D_ .

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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