Introduction to IBM SPSS Modeler and Data Science (v18.1.1) Training

  • Learn via: Classroom / Virtual Classroom / Online
  • Duration: 2 Days
  • Download PDF
  • We can host this training at your preferred location. Contact us!
Upcoming Training

01 February 2021

2 Days

This course provides the fundamentals 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 v18.1.1, and introduces the student to modeling.

• It is recommended that you have an understanding of your business data

Please refer to course overview

1. Introduction to data science
• List two applications of data science
• Explain the stages in the CRISP-DM methodology
• Describe the skills needed for data science
2. Introduction to IBM SPSS Modeler
• Describe IBM SPSS Modeler's user-interface
• Work with nodes and streams
• Generate nodes from output
• Use SuperNodes
• Execute streams
• Open and save streams
• Use Help
3. Introduction to data science using IBM SPSS Modeler
• Explain the basic framework of a data-science project
• Build a model
• Deploy a model
4. Collecting initial data
• Explain the concepts 'data structure', '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
5. Understanding the data
• Audit the data
• Check for invalid values
• Take action for invalid values
• Define blanks
6. Setting the of analysis
• Remove duplicate records
• Aggregate records
• Expand a categorical field into a series of flag fields
• Transpose data
7. Integrating data
• Append records from multiple datasets
• Merge fields from multiple datasets
• Sample records
8. Deriving and reclassifying fields
• Use the Control Language for Expression Manipulation (CLEM)
• Derive new fields
• Reclassify field values
9. Identifying 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
10. Introduction to modeling
• List three types of models
• Use a supervised model
• Use a segmentation model



Contact us for more detail about our trainings and for all other enquiries!

Upcoming Trainings

Join our public courses in our Istanbul, London and Ankara facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

01 February 2021

2 Days
Classroom

Istanbul, Ankara, London
Istanbul, Ankara, London

07 June 2021

2 Days
Classroom

Istanbul, Ankara, London
Istanbul, Ankara, London