0A005GES ::: Introduction to IBM SPSS Modeler and Data Mining (V16)
Curso
En Madrid
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Descripción
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Tipología
Curso
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Lugar
Madrid
Objetivos Please refer to course overview for description information. Audiencia This basic course is for:Anyone who is new to IBM SPSS ModelerAnyone considering purchasing IBM SPSS ModelerAnyone interested in Data Mining
Instalaciones y fechas
Ubicación
Inicio
Inicio
A tener en cuenta
Requisitos You should have:General computer literacy The following course, offered by Luz will help you improve your skills and achieve your professional goals. During the program you will study different subjects which are deemed to be useful for those who want to enhance their professional career. Sign up for more information!
Opiniones
Materias
- SPSS
- Data mining
Temario
Introduction to Data Mining
- List two applications of data mining
- Explain the stages of the CRISP-DM process model
- Describe successful data-mining projects and the reasons why projects fail
- Describe the skills needed for data mining
Working with Modeler
- Describe the MODELER user-interface
- Work with nodes
- Run a stream or a part of a stream
- Open and save a stream
- Use the online Help
A Data-Mining Tour
- Explain the basic framework of a data-mining project
- Build a model
- Deploy a model
Collecting Initial Data
- Explain the concepts ''data structure'', ''unit of analysis'', ''field storage'' and ''field measurement level''
- Import Microsoft Excel files
- Import IBM SPSS Statistics files
- Import text files
- Import from databases
- Export data to various formats
Understanding your Data
- Audit the data
- Explain how to check for invalid values
- Take action for invalid values
- Explain how to define blanks
Setting the Unit of Analysis
- Set the unit of analysis by removing duplicate records
- Set the unit of analysis by aggregating records
- Set the unit of analysis by expanding a categorical field into a series of flag fields
Integrating Data
- Integrate data by appending records from multiple datasets
- Integrate data by merging fields from multiple datasets
- Sample records
Deriving and Reclassifying Fields
- Use the Control Language for Expression Manipulation (CLEM)
- Derive new fields
- Reclassify field values
Looking for Relationships
- Examine the relationship between two categorical fields
- Examine the relationship between a categorical field and a continuous field
- Examine the relationship between two continuous fields
Introduction to Modeling
- List three modeling objectives
- Use a classification model
- Use a segmentation model
¿Necesitas un coach de formación?
Te ayudará a comparar y elegir el mejor curso para ti y a financiar tu matrícula en cómodos plazos.
0A005GES ::: Introduction to IBM SPSS Modeler and Data Mining (V16)