IBM SPSS Modeler : Machine Learning Models (V18.2)
- Durée
- Durée :2 jours
- Niveau
- Niveau :Fondamental
- Certification
- Certification :Non
1700€ HT
Prochaine session :
IBM SPSS Modeler : Foundations (v18.2)
4,0/5
Avec 1 avisDescription de la formation IBM SPSS Modeler Foundations
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.
Programme de la formation
Objectifs pédagogiques :
À l'issue de cette formation IBM SPSS Modeler Foundations, vous aurez acquis les connaissances et compétences nécessaires pour :
- Introduction to IBM SPSS Modeler
- Collect initial data
- Understand the data
- Set the unit of analysis
- Integrate data
- Transform fields
- Further field transformations
- Examine relationships
- Introduction to modeling
- Improve efficiency
Introduction to IBM SPSS Modeler
Introduction to data scienceDescribe the CRISP-DM methodology
Introduction to IBM SPSS Modeler
Build models and apply them to new data
Collect initial data
Describe field storageDescribe field measurement level
Import from various data formats
Export to various data formats
Understand the data
Audit the dataCheck for invalid values
Take action for invalid values
Define blanks
Set the unit of analysis
Remove duplicatesAggregate data
Transform nominal fields into flags
Restructure data
Integrate data
Append datasetsMerge datasets
Sample records
Transform fields
Use the Control Language for Expression ManipulationDerive fields
Reclassify fields
Bin fields
Further field transformations
Use functionsReplace field values
Transform distributions
Examine relationships
Examine the relationship between two categorical fieldsExamine the relationship between a categorical and continuous field
Examine the relationship between two continuous fields
Introduction to modeling
Describe modeling objectivesCreate supervised models
Create segmentation models
Improve efficiency
Use database scalability by SQL pushbackProcess outliers and missing values with the Data Audit node
Use the Set Globals node
Use parameters
Use looping and conditional execution
Public cible :
- Data scientists
- Business analysts
- Clients who are new to IBM SPSS Modeler or want to find out more about using it
Prérequis :
Knowledge of your business requirements.
J'évalue mes connaissances pour vérifier que je dispose des prérequis nécessaires pour profiter pleinement de cette formation en faisant le test de prérequis.
Date de mise à jour du programme : 18/11/2025
Dates et lieux
Période souhaitée
Lieux
Type d'affichage
Aucune session disponible pour cette période.