Data Analysis and Root Cause Analysis in Six Sigma
Overview/Description
Target Audience
Prerequisites
Expected Duration
Lesson Objectives
Course Number
Expertise Level
Overview/Description
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.
Target Audience
Candidates seeking Six Sigma Yellow Belt certification, those who are new to the world of Six Sigma or have a small role, interest, or need to develop foundational knowledge, quality professionals, engineers, production managers, frontline supervisors, and all individuals including process owners and champions, charged with the responsibility of improving quality and processes at the organizational or departmental level
Prerequisites
None
Expected Duration (hours)
1.2
Lesson Objectives
Data Analysis and Root Cause Analysis in Six Sigma
apr_10_a02_bs_enus
Expertise Level
Intermediate