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0A058G – Advanced Data Preparation Using IBM SPSS Modeler

Home / 0A058G – Advanced Data Preparation Using IBM SPSS Modeler

Course Outline:

  1. Using functions to cleanse and enrich data
  • Use date functions
  • Use conversion functions
  • Use string functions
  • Use statistical functions
  • Use missing value functions
  1. 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
  1. 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
  1. 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
  1. 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

Course Audience & Prerequisites:

Audience

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.

Prerequisites

  • Experience using IBM SPSS Modeler including familiarity with the Modeler environment, creating streams, reading data files, exploring data, setting the unit of analysis, combining datasets, deriving and reclassifying fields, and basic knowledge of modeling.
  • Prior completion of the Introduction to IBM SPSS Modeler and Data Science course is recommended.

Course Offerings:

Instructor Led In Classroom

Newcomp can directly deliver  IBM Business Analytics courses for Business Intelligence, Performance Management, and IBM Advanced Analytics through the use of in-class training facilities.

Currently,  in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor Led Online

Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples

ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

Self Paced

Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC.  Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.

  • Course Outline
  • Course Audience & Prerequisites
  • Course Offerings
  • Related Courses

  1. Using functions to cleanse and enrich data
  • Use date functions
  • Use conversion functions
  • Use string functions
  • Use statistical functions
  • Use missing value functions
  1. 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
  1. 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
  1. 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
  1. 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

Audience

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.

Prerequisites

  • Experience using IBM SPSS Modeler including familiarity with the Modeler environment, creating streams, reading data files, exploring data, setting the unit of analysis, combining datasets, deriving and reclassifying fields, and basic knowledge of modeling.
  • Prior completion of the Introduction to IBM SPSS Modeler and Data Science course is recommended.

Instructor Led In Classroom

Newcomp can directly deliver  IBM Business Analytics courses for Business Intelligence, Performance Management, and IBM Advanced Analytics through the use of in-class training facilities.

Currently,  in-class courses are offered in Markham, Ottawa, Vancouver, Halifax, and Edmonton. Please note that classes can be added to new areas based on demand.

Instructor Led Online

Students receive the same quality as an in-class course, with a live instructor and the ability to participate in hands-on labs through real-life examples

ILOs help cut costs by reducing time and travel as they can be taken from home or the office and require only the use of a computer, high-speed wired internet and a headset.

Self Paced

Students can receive the same high-quality training, with the same courseware at their own speed and schedule with SPVC.  Individuals with busy schedules can complete a course over a 30-day timeframe at a lower price than in-class or ILO courses. Please note that there is no live interaction with an instructor in this format.