Yellow Belts are individuals that typically work on a multitude of tasks in a Six Sigma Support role.
They actively participate in projects by assisting with data collection, problem solving tasks, tool application        and reporting functions.
But most importantly, Yellow Belts extend the reach of Six Sigma inside an organization.
Successful Six Sigma deployments have one thing in common - widespread support from all levels of the        organization. But with shrinking budgets and geographically dispersed work forces, many companies are        struggling to find the time, money and instructors to train employees in basic Six Sigma concepts.
This Yellow Belt program is a quick and effective way to deliver detailed Six Sigma training to a critical mass        of employees without creating additional demands on your instructors and project leaders.


This Yellow Belt Program delivers a thorough introduction to Six Sigma team members to the basic vernacular functions and activities they will experience when working on Six Sigma projects in the organization.
The Training provides Yellow Belts with the education they need to interact with Green Belts and Black Belts and to assist with project work as needed.
The material provides a comprehensive overview of Six Sigma concepts, the DMAIC methodology and analytical tools


5 days
Course Includes Comprehensive course Material

Who Should Attend?

Team member of Six Sigma project teams

What will the participants get at the end of the program?

On completion of this course participants will be able to:

Understand what Six Sigma is, the DMAIC methodology and key organizational roles
Identify the most significant input variables affecting the output of a process
Apply basic statistical analysis to determine the relationship between key inputs and process outputs
Filter and narrow down the list of possible variables that may be negatively affecting the output of a process
Effectively participate in the identification of a problem solution
Help implement systems to ensure improvements are maintained in the long-term

Certification Requirements

65% average grade on one exams at the end of the course.

Course Methodology


This program combines lectures with practical experiential learning exercises to maximize comprehension.

Course Outline

Six Sigma Overview
Project Definition
Introduction to Basic Statistics
Introduction to Minitab
Process Mapping
Measurement Systems Analysis
Graphical Methods
Failure Mode Effects Analysis
Introduction to Hypothesis Testing
Introduction to Design of Experiments (DOE)
Introduction to Control Methods
Introduction to Statistical Process
Control (Variable SPC)

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