Introduction to IBM SPSS Modeler and Data Science v18.1.1 0A008G

• Introduction to data science
• Introduction to IBM SPSS Modeler
• Introduction to data science using IBM SPSS Modeler
• Collecting initial data
• Understanding the data
• Setting the of analysis
• Integrating data
• Deriving and reclassifying fields
• Identifying relationships
• Introduction to modeling

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