IBM 0A069G - IBM SPSS Modeler Foundations (V18.2)
Startdaten und Startorte
placeim Büro, Homeoffice, Meetingraum 22. Apr 2024 bis 23. Apr 2024Details ansehen event 22. April 2024, 09:00-17:00, im Büro, Homeoffice, Meetingraum, Seminar 30375 |
placeim Büro, Homeoffice, Meetingraum 17. Jun 2024 bis 18. Jun 2024Details ansehen event 17. Juni 2024, 09:00-17:00, im Büro, Homeoffice, Meetingraum, Seminar 30375 |
placeim Büro, Homeoffice, Meetingraum 19. Aug 2024 bis 20. Aug 2024Details ansehen event 19. August 2024, 09:00-17:00, im Büro, Homeoffice, Meetingraum, Seminar 30375 |
placeim Büro, Homeoffice, Meetingraum 14. Okt 2024 bis 15. Okt 2024Details ansehen event 14. Oktober 2024, 09:00-17:00, im Büro, Homeoffice, Meetingraum, Seminar 30375 |
placeim Büro, Homeoffice, Meetingraum 9. Dez 2024 bis 10. Dez 2024Details ansehen event 9. Dezember 2024, 09:00-17:00, im Büro, Homeoffice, Meetingraum, Seminar 30375 |
Beschreibung
Course Outline
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
- Rec…
Frequently asked questions
Es wurden noch keine FAQ hinterlegt. Falls Sie Fragen haben oder Unterstützung benötigen, kontaktieren Sie unseren Kundenservice. Wir helfen gerne weiter!
Course Outline
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
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
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