# Data Analysis and Root Cause Analysis in Six Sigma

Six Sigma Yellow Belt    |    Intermediate
• 12 videos | 55m 18s
• Includes Assessment
• Earns a Badge
• CPE
Rating 4.1 of 1328 users (1328)
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

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

## 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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