This course will provide you will the tools necessary to complete the final components of the analyze phase as well as the improve and control phases of the Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) process. This course is the final course in the Six Sigma Yellow Belt Specialization. You will learn about relationships from data using correlation and regression as well as the different hypothesis terms in hypothesis testing. This course will provide you with tools and techniques for improvement. You will also understand the importance of a control plan, as well as its key characteristics, for maintaining process improvements. Every module will include readings, discussions, lecture videos, and quizzes to help make sure you understand the material and concepts that are studied.

Six Sigma Tools for Improve and Control
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Six Sigma Tools for Improve and Control
This course is part of Six Sigma Yellow Belt Specialization



Instructors: David Cook, PhD
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Beginner level
No prior experience required
7 hours to complete
Flexible schedule
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Skills you'll gain
- Project Management
- Correlation Analysis
- Regression Analysis
- Kaizen Methodology
- Quality Improvement
- Process Improvement
- Cost Benefit Analysis
- Continuous Improvement Process
- Quality Management
- Statistical Hypothesis Testing
- Project Documentation
- Statistical Process Controls
- Process Analysis
- Process Optimization
- Document Control
- Quality Control
- Process Improvement and Optimization
- Statistical Inference
- Six Sigma Methodology
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Taught in English
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This course is part of the Six Sigma Yellow Belt Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 5 modules in this course
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