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Advanced Data Preparation using IBM SPSS Modeler (v18)

Learn advanced topics to aid in the preparation of data for a successful data mining project using IBM SPSS Modeler v18.0.

GK# 5285 Vendor# 0A057G

$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 mining project. You will learn how to use functions, deal with 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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  1. Cleansing and Enriching Data
  2. Field Transformations
  3. Sequencing Data
  4. Sampling, Partitioning and Balancing Data
  5. How to Improve Efficiency 

Note: While class exercises are performed within a SPSS Modeler v24 environment, our expert instructors can provide guidance on all previous versions and their differences

Outline

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Self-Paced 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

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 cross-record 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

Prerequisites

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  • General computer literacy
  • 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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Individuals who want to become familiar with the full range of techniques available in IBM SPSS Modeler for data manipulation.

Training Exclusives

This course comes with the following benefits: 

  • Digital Courseware
  • 90 Days Bonus Access to IBM Hands-on Labs
  • 12 Months of Indexed Virtual Class Recordings
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Course Delivery

This course is available in the following formats:

Self-Paced

On-demand content enables you to train on your own schedule.



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

Request this course in a different delivery format.
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