Schulung - IBM 0A069G - IBM SPSS Modeler Foundations (V18.2)

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DURCHFÜHRUNG MIT TERMIN
Nr.
30375

Dauer
16h00

Preis
1.600,00 € netto
1.904,00 € inkl. 19% MwSt.

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Overview

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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Zielgruppe

Wer sollte teilnehmen:

Zielgruppe

Audience

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

Voraussetzungen

Prerequisites

  • Knowledge of your business requirements

Trainingsprogramm

Trainingsprogramm

Course Outline

Introduction to IBM SPSS ModelerIntroduction to data scienceDescribe the CRISP-DM methodologyIntroduction to IBM SPSS ModelerBuild models and apply them to new dataCollect initial dataDescribe field storageDescribe field measurement levelImport from various data formatsExport to various data formatsUnderstand the dataAudit the dataCheck for invalid valuesTake action for invalid valuesDefine blanksSet the unit of analysisRemove duplicatesAggregate dataTransform nominal fields into flagsRestructure dataIntegrate dataAppend datasetsMerge datasetsSample recordsTransform fieldsUse the Control Language for Expression ManipulationDerive fieldsReclassify fieldsBin fieldsFurther field transformationsUse functionsReplace field valuesTransform distributionsExamine relationshipsExamine the relationship between two categorical fieldsExamine the relationship between a categorical  and continuous fieldExamine the relationship between two continuous fieldsIntroduction to modelingDescribe modeling objectivesCreate supervised modelsCreate segmentation modelsImprove efficiencyUse database scalability by SQL pushbackProcess outliers and missing values with the Data Audit nodeUse the Set Globals nodeUse parametersUse looping and conditional execution

Objective

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

Schulungsmethode

Schulungsmethode

presentation, discussion, hands-on exercises

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Schulung - IBM 0A069G - IBM SPSS Modeler Foundations (V18.2)