In the final course of the Six Sigma Green Belt program, learn how to improve and control processes, while deepening your understanding and experience applying the concepts and tools used in the first two courses of this certificate program.
Learn how to design and test hypotheses and experiments.
Explore the concepts underlying statistical process control.
Use these concepts and tools to build upon everything that you've learned during the Introduction and Intermediate courses and see how they work together as comprehensive methodology.
You will receive new tools and resources that will help you complete projects you have developed and to use in your ongoing application of this approach to process improvements.
Upon successful completion of this course, participants will be awarded certification as a Six Sigma Green Belt.
- Exploratory Data Analysis
- Correlation and Regression
- Hypothesis Testing
- Basic Concepts
- Point & Interval Estimation
- Major Tests
- Paired-comparison Tests
- Single-Factor ANOVA
- Improvement Techniques
- Design of Experiments (DOE)
- Design Types
- Implement and Validate Solutions
- Response Surfaces
- DOE Improvement Analysis
- Control Concepts
- Statistical Process Control (SPC)
- Objectives and Benefits
- Rational Subgrouping
- Application of Control Charts
- Variable Charts
- Attribute Charts
- Analysis of Control Charts
- Control Plans
- Gain experience applying principles learned in the Introduction and Intermediate Six Sigma Green Belt courses.
- Develop an understanding of process improvement approaches and tools.
- Learn methods to test hypotheses, design experiments, and control statistical processes.
- Gain familiarity with web resources and other tools to support ongoing learning.