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Data Management and Manipulation Using IBM SPSS Statistics (v24)

Learn about transformation techniques, ways to automate data preparation work, and how to manipulate data files and analytical results

GK# 5969 Vendor# 0G525G

$720 - $1695 USD

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Course Overview

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In this course, you will learn about a wide range of transformation techniques and ways to automate data preparation work. You will also learn how to manipulate data files and analytical results. You will gain an understanding of the various options for controlling the IBM SPSS Statistics operating environment and how to perform data transformations efficiently. This course uses the IBM SPSS Statistics Base features.

Schedule

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  • Delivery Format:
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What You'll Learn

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  • Data management features
  • Functions to cleanse and enrich data
  • Transformations for data preparation
  • Unit of analysis
  • Merging data files
  • Analyze multiple response questions
  • Customize tables and charts
  • Introduction to the Output Management System
  • Automation analyses
  • Controlling the IBM SPSS Statistics environment

Outline

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Viewing outline for:

Self-Paced Outline

1. Helpful Data Management Features

  • Read from a database using the Database Wizard
  • Customize variable attributes
  • Compare datasets
  • Use Variable Sets
  • Rename datasets

2. Use Functions to Cleanse and Enrich Data

  • Identify the need to cleanse and enrich data
  • Identify the general form of a function
  • Use statistical functions
  • Use logical functions
  • Use missing value functions
  • Use conversion functions
  • Use system variables


3. Additional Transformations for Data Preparation

  • Use Automatic Recode to recode string variables into numeric variables
  • Use Count Values within Cases to count values across variables

4. Set the Unit of Analysis

  • Remove duplicate cases
  • Create aggregated datasets
  • Restructure datasets

5. Merge Data Files

  • Add cases from one dataset to another
  • Add variables from one dataset to another
  • Enrich a dataset with aggregated information

6. Analyze Multiple Response Questions

  • Describe the two ways to encode a multiple response set
  • Define multiple response sets
  • Use the Multiple Response Frequencies and Crosstabs procedures

7. Customize Tables and Charts

  • Use the features of the Pivot Table Editor
  • Create and apply customized TableLooks
  • Use the features of the Chart Editor
  • Create and apply customized Chart Templates

8. Introduction to the Output Management System

  • Explain Output Types
  • Specify an OMS request to suppress output
  • Specify an OMS request to export output

9. Automate Analyses

  • Describe and use the features of the Syntax Editor
  • Make simple changes to syntax
  • Describe and use the features of the Production Facility dialog box
  • Run a simple production job
  • Describe the use of external programming languages with IBM SPSS Statistics

10. Control the IBM SPSS Statistics Environment

  • Describe the features of the Options dialog box
  • Set the display of variables
  • Set the default working data folders
  • Change transformation options for variables

Prerequisites

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General computer literacy

Who Should Attend

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  • Individuals who have worked with IBM SPSS Statistics and want to explore additional data management and manipulation features of IBM SPSS Statistics and generally increase their efficiency with IBM SPSS Statistics
  • Individuals who have learned the basic operations of IBM SPSS Statistics on their own

Follow-On Courses

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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: 2 day

Virtual Classroom Live

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

Duration: 2 day

Request this course in a different delivery format.
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