Global Knowledge

Introduction à IBM SPSS Modeler et à la Science des Données (v18.1.1)

Par Global Knowledge

Programme

  • 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
  • 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
  • Introduction to data science using IBM SPSS Modeler
  • Explain the basic framework of a data-science project • Build a model • Deploy a model
  • 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
  • Understanding the data
  • Audit the data
  • Check for invalid values
  • Take action for invalid values
  • Define blanks
  • Setting the of analysis
  • Remove duplicate records
  • Aggregate records
  • Expand a categorical field into a series of flag fields
  • Transpose data
  • Integrating data
  • Append records from multiple datasets
  • Merge fields from multiple datasets
  • Sample records
  • Deriving and reclassifying fields
  • Use the Control Language for Expression Manipulation (CLEM)
  • Derive new fields
  • Reclassify field values
  • 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
  • Introduction to modeling
  • List three types of models
  • Use a supervised model
  • Use a segmentation model

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