Advanced Data Preparation Using IBM SPSS Modeler v18.1.1 0A058G

This advanced course is intended for anyone who wants to become familiar with the full range of techniques available in IBM SPSS Modeler for data preparation.

Using functions to cleanse and enrich data

Using additional field transformations

Working with sequence data

Sampling, partitioning and balancing data

Improving efficiency

1: Using functions to cleanse and enrich data

• Use date functions

• Use conversion functions

• Use string functions

• Use statistical functions

Use missing value functions

• 2: Using additional field transformations

• Replace values with the Filler node

• Recode continuous fields with the Binning node

Change a field's distribution with the Transform node

• 3: Working with sequence data

• Use sequence functions

• Count an event across records

• Expand a continuous field into a series of continuous fields with the Restructure node

Use geospatial and time data with the Space-Time-Boxes node

• 4: Sampling, partitioning and balancing data

• Draw simple and complex samples with the Sample node

• Create a training set and testing set with the Partition node

Reduce or boost the number of records with the Balance node

• 5: Improving 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