Data Collection

This course helps you identify reasons for developing a data collection process. You’ll distinguish between different types of descriptive and quantitative data and compare the advantages and disadvantages of random, systematic and stratified sampling methods.

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Learn the basic elements of data collection planning, including explanations of data in its most basic forms and the reasons why unbiased data is of value to an organization. The course outlines the steps in obtaining a truly random sample from which to collect data. Once a sample has been obtained, a number of various data collection techniques can be used to record the observations of the data collectors.

  • Learning Objectives
    • Distinguish between different types of descriptive and quantitative data
    • Identify reasons for developing a well-defined data collection process
    • Identify critical steps in data collection planning
    • Compare the advantages and disadvantages of random, systematic and stratified sampling methods
    • Compare the capability and usage of five data collection techniques (check sheets, concentration diagrams, flowcharts, SIPOC diagrams, and process mapping)
  • Who Should Attend

    Appropriate for both those learners who have not previously studied the subject matter and those seeking a refresher course.

  • More Information

    Course Data

    • CEU Hours: 1.5
    • ASQ RU: 1.5
    • Provider: eHigher Education
    • Course ID: DC01EHE
    • Course Length: 15 hours
    • You have 182 days to access this course.
    • Cancellation Policy

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