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IBM SPSS Data Collection Scripting (Intermediate Data Management) SPVC

 

Who should attend

This intermediate course is for scriptwriters who will be responsible for the data management of projects. In order words, taking initial datasets and surveys files and modifying the records appropriately.

Prerequisites

Students attending this course should have taken the:

  • ´IBM SPSS Data Collection Scripting (Intro to Data Management)´ course as the content builds on specific knowledge gained during that course.

Product Description

This is the self paced training version of ´IBM SPSS Data Collection Scripting-Intermediate Data Management´ classroom course. This self-paced training course builds on the knowledge acquired during the ´Introduction to Data Management´ course and provides more complex functionality within each of the Data Management steps. You will build on their scripting knowledge and tackle more intricate scenarios.The survey and case data used during this course are the solutions to the IBM SPSS Data Collection Scripting (Survey Creation) Level I course, thereby providing a sense of continuity to students from both classes. Additionally, the solution created during the ´Introduction To Data Management´ course will be used to drive the student exercises.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

http://www.ibm.com/training/terms

Outline

  • Lesson 1: Course Introduction
  • Lesson 2: Survey files and data
  • Lesson 3: The Data Management process
  • Lesson 4: Options for reading data in and out
  • Lesson 5: Adding derived survey variables
  • Lesson 6: Actions prior to opening input data
  • Lesson 7: Actions after reading Input data
  • Lesson 8: Using subroutines and functions
  • Lesson 9: Looping through records
  • Lesson 10: Error Handling
  • Lesson 11: Actions prior to closing output data
  • Lesson 12: Actions after data output closed
  • Lesson 13: Course Summary
E-Learning IBM Self-Paced Virtual Class (SPVC)

Price on request

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