Data Analysis and Root Cause Analysis in Six Sigma

Six Sigma Yellow Belt    |    Intermediate
  • 12 videos | 55m 18s
  • Includes Assessment
  • Earns a Badge
  • Certification CPE
Rating 4.1 of 1331 users Rating 4.1 of 1331 users (1331)
A critical success factor when carrying out business process improvement is the ability to understand the vast amounts of data related to process design and process control. This course covers the data analysis and root cause analysis techniques used in Lean Six Sigma to implement process improvement. You'll explore different Lean tools, such as probability distribution charts and normal and binomial distributions. You'll also learn about other techniques used in Six Sigma, including the five whys, process maps, matrix charts, and force field analysis. This course is aligned to the ASQ Body of Knowledge, and is designed to assist Yellow Belt candidates toward achieving their certification.

WHAT YOU WILL LEARN

  • Distinguish between types of variables
    Identify characteristics of normal distribution
    Recognize situations for which you would use a binomial distribution
    Recognize how the shape of a distribution curve affects data interpretation
    Classify examples of causes of variations as either common or special causes
    Recognize the process for conducting a root cause analysis
  • Recognize best practices when using 5 whys analysis
    Identify sources of information used when creating a process map
    Distinguish between process map symbols and their meanings
    Recognize how relational matrix charts are used for root cause analysis
    Recognize activities involved in carrying out a force-field analysis

IN THIS COURSE

  • 39s
  • 3m 16s
    In this video, you will learn how to distinguish between different types of variables. FREE ACCESS
  • Locked
    3.  Introduction to Normal Distribution
    2m 46s
    In this video, you will learn how to identify characteristics of a normal distribution. FREE ACCESS
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    4.  Introduction to Binomial Distribution
    3m 10s
    Discover how to recognize situations in which you would use a binomial distribution. FREE ACCESS
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    5.  Skewed and Bimodal Curves
    3m 59s
    In this video, you will learn how to recognize how the shape of a distribution curve affects data interpretation. FREE ACCESS
  • Locked
    6.  Common and Special Cause Variations
    7m 32s
    During this video, you will learn how to classify examples of causes of variations as either common causes or special causes. FREE ACCESS
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    7.  Introduction to Root Cause Analysis
    3m 49s
    In this video, you will learn how to recognize the process for conducting a root cause analysis. FREE ACCESS
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    8.  5 Whys Analysis
    7m 4s
    Learn how to recognize best practices when using 5 Whys Analysis. FREE ACCESS
  • Locked
    9.  Process Mapping
    5m 56s
    In this video, you will learn how to identify sources of information used when creating a process map. FREE ACCESS
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    10.  Process Map Symbols
    5m 42s
    During this video, you will learn how to distinguish between process map symbols and their meanings. FREE ACCESS
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    11.  Relational Matrix Charts
    5m 30s
    Discover how to recognize how relational matrix charts are used for root cause analysis. FREE ACCESS
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    12.  Force-field Analysis
    5m 56s
    In this video, you will learn how to recognize activities involved in carrying out a force-field analysis. 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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