Six Sigma: Green Belt
Overview
Learn what you need to operate as a Six Sigma Green Belt. This course covers measurement system analysis, descriptive statistics, hypothesis testing, experiment design, and more.
Six Sigma is a customer-focused, data-driven methodology that is widely used to analyze and improve the performance of processes, products, and services. In this course, get the training you need to become a Six Sigma Green Belt. Green Belts participate in—or lead—Six Sigma projects on a part-time basis under the guidance of a Black Belt. Operational excellence expert, master Black Belt trainer, and professor Dr. Richard Chua explains how to use Six Sigma and its process, quality, and statistical tools as he prepares you to become a Six Sigma Green Belt.
Note: Dr. Richard Chua builds upon his Six Sigma Foundations and Learning Minitab courses, and covers an array of topics, including measurement system analysis, descriptive statistics, hypothesis testing, design of experiments, statistical process control, and more.
Six Sigma is a customer-focused, data-driven methodology that is widely used to analyze and improve the performance of processes, products, and services. In this course, get the training you need to become a Six Sigma Green Belt. Green Belts participate in—or lead—Six Sigma projects on a part-time basis under the guidance of a Black Belt. Operational excellence expert, master Black Belt trainer, and professor Dr. Richard Chua explains how to use Six Sigma and its process, quality, and statistical tools as he prepares you to become a Six Sigma Green Belt.
Note: Dr. Richard Chua builds upon his Six Sigma Foundations and Learning Minitab courses, and covers an array of topics, including measurement system analysis, descriptive statistics, hypothesis testing, design of experiments, statistical process control, and more.
Syllabus
Introduction
- Welcome
- What you should know
- Certification information
- Six Sigma and the organization
- Project identification
- Collecting VOC (voice of the customer)
- Project management basics
- Types of process maps
- Sampling in data collection
- Descriptive statistics
- Graphical displays of variation
- Measurement system analysis (MSA)
- Process performance measures
- Hypothesis testing basics
- Hypothesis testing protocol
- Tests for means
- Tests for variances
- Tests for proportions
- Test for independence
- Correlation and linear regression
- Introduction to design of experiments
- Introduction to design for Six Sigma
- Use of selection matrices
- How to use failure modes and effects analysis
- Statistical process control charts
- SPC charts for variables
- SPC charts for attributes
- How to develop control plans
- Next steps
Taught by
Richard Chua
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