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Advanced Data Preparation Using IBM SPSS Modeler (v18.1.1)

Learn advanced data preparation techniques in IBM SPSS Modeler.

GK# 7608

$360 - $895 CAD

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Course Overview

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This course covers advanced topics to aid in the preparation of data for a successful data science project. You will learn how to use functions, manage missing values, use advanced field operations, handle sequence data, apply advanced sampling methods, and improve efficiency.

Schedule

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What You'll Learn

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  • How to cleanse and enrich data
  • Additional field transformations
  • Work with sequence data
  • Sampling, partitioning, and balancing your data
  • Improving efficiency techniques

Outline

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Viewing outline for:

Classroom Live 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

Prerequisites

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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

Who Should Attend

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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.

Course Delivery

This course is available in the following formats:

Classroom Live

Receive face-to-face instruction at one of our training center locations.

Duration: 1 day

Virtual Classroom Live

Experience expert-led online training from the convenience of your home, office or anywhere with an internet connection.

Duration: 1 day

On-Demand

Train at your own pace with 24/7 access to courses that help you acquire must-have technology skills.



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