Six Sigma Black Belt: Data Types, Sampling, Collection, and Measurement

Everyone
  • 7 videos | 1h 29m 16s
  • Earns a Badge
Rating 4.2 of 117 users Rating 4.2 of 117 users (117)
An organization's success depends upon how it delivers on its processes. Before Black Belts can begin to improve an organization's processes, they must collect data to measure current processes using appropriate methods and tools. Successful data collection starts with careful planning and a knowledge of various data types, measurement methods, and sampling techniques. Black Belts also need to be aware of best practices for ensuring data accuracy and integrity. As Six Sigma team leaders, Black Belts help to oversee careful data collection efforts during the Measure phase of the Six Sigma DMAIC process. This course prepares Black Belts for successful data collection by surveying the types of data, measurement methods, and scales; sampling techniques; and collection methods available. It offers guidance for ensuring data integrity, pointing to different collection methods for different informational needs, and recommending best practices for front-line data collectors. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft's ASQ-aligned Green Belt curriculum.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Determine what type of data to collect in a given scenario
    Recognize an example of the correct application of the rule of ten
    match measurement tool categories to descriptions
    Match measurement scales to associated statistical analysis tools
    Label types of measurement system studies according to whether they test accuracy or precision
  • recognize appropriate applications of subgroup and block sampling
    match sampling methods with applications suitable to their use
    Recognize the use of best practices for ensuring data accuracy and integrity in data collection
    Sequence the steps in a process for cleaning data
    sequence the steps in the data mining process
    identify the advantages of automated data collection

IN THIS COURSE

  • 1m 30s
    After completing this video, you will be able to discover the key concepts that will be covered in this course. FREE ACCESS
  • 9m 35s
    After completing this video, you will be able to determine what type of data to collect in a given scenario FREE ACCESS
  • Locked
    3.  Measurement Tools
    14m 24s
    After completing this video, you will be able to match measurement tool categories to descriptions and recognize an example of the correct application of the rule of ten FREE ACCESS
  • Locked
    4.  Measurement Scales and Statistics Tools
    11m 32s
    After completing this video, you will be able to match measurement scales to associated statistical analysis tools FREE ACCESS
  • Locked
    5.  Sampling Methods
    16m 16s
    After completing this video, you will be able to match sampling methods with applications suitable to their use, recognize appropriate applications of subgroup and block sampling, and label types of measurement system studies according to whether they test accuracy or precision FREE ACCESS
  • Locked
    6.  Data Collection Plans
    11m 6s
    After completing this video, you will be able to recognize the use of best practices for ensuring data accuracy and integrity in data collection FREE ACCESS
  • Locked
    7.  Methods of Data Collection
    24m 53s
    After completing this video, you will be able to sequence the steps in a process for cleaning data, identify the advantages of automated data collection, and sequence the steps in the data mining process FREE ACCESS

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.

Digital badges are yours to keep, forever.

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