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Six Sigma Tools for Improve and Control

Become proficient in statistical analysis and process improvement techniques essential for effectively completing the DMAIC cycle in Six Sigma projects.

Become proficient in statistical analysis and process improvement techniques essential for effectively completing the DMAIC cycle in Six Sigma projects.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Six Sigma Yellow Belt Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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Six Sigma Tools for Improve and Control

This course includes

6 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Learn correlation and regression analysis techniques

  • Master hypothesis testing and statistical significance

  • Implement process improvement methodologies

  • Develop effective control plans

  • Create standardized documentation for process maintenance

Skills you'll gain

Statistical Analysis
Process Control
Correlation Analysis
Hypothesis Testing
Quality Improvement
Data Analysis
Process Optimization
Kaizen
PDCA
Documentation Management

This course includes:

2 Hours PreRecorded video

7 quizzes, 1 assignment

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Certificate

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 5 modules in this course

This comprehensive course focuses on the final phases of the Six Sigma DMAIC process. Students learn advanced statistical techniques including correlation, regression, and hypothesis testing, along with improvement methods like Kaizen and PDCA. The curriculum also covers essential control tools and documentation practices for maintaining process improvements.

Correlation and Regression

Module 1 · 1 Hours to complete

Hypothesis Testing

Module 2 · 1 Hours to complete

Improvement Techniques

Module 3 · 1 Hours to complete

Control Tools and Documentation

Module 4 · 1 Hours to complete

CAPSTONE PROJECT

Module 5 · 1 Hours to complete

Fee Structure

Instructors

David Cook, PhD
David Cook, PhD

4.6 rating

899 Reviews

2,79,147 Students

15 Courses

Assistant Professor of Mechanical Engineering Technology

Dr. David Cook is an Assistant Professor of Mechanical Engineering Technology at Kennesaw State University, where he brings a wealth of experience in engineering and education. He holds multiple degrees, including a Bachelor in Applied Mathematics, a Bachelor and Master in Mechanical Engineering from the Georgia Institute of Technology, an MBA from the University of Louisville, and an Ed.D. in Educational Leadership and Technology from the University of Phoenix. Dr. Cook's professional career began at GE Appliances, where he worked in product design for washers, dryers, and refrigeration before transitioning to various roles in quality management and engineering.In addition to his teaching responsibilities, Dr. Cook is a certified Six Sigma Green Belt and Black Belt, having designed and taught Six Sigma courses for over thirteen years. His courses on Coursera include DFSS for the 6 σ Black Belt, Six Sigma Principles, and various courses focused on the Six Sigma methodology's phases such as Define, Measure, Analyze, Improve, and Control. Dr. Cook is dedicated to empowering students with practical skills that enhance their understanding of quality management and process improvement in engineering contexts.

 Bill Bailey, PhD
Bill Bailey, PhD

4.6 rating

899 Reviews

2,65,634 Students

9 Courses

Assistant Professor of Industrial Engineering

Dr. Bill Bailey is an Assistant Professor of Industrial Engineering at Kennesaw State University, specializing in quality systems and process improvement. He earned his PhD in Technology Management with a specialization in Quality Systems from Indiana State University in 2011, and he also holds a Master of Science in Industrial Technology from North Carolina A&T State University, along with a Baccalaureate degree in Psychology and English. Dr. Bailey has extensive experience in manufacturing, particularly in lean implementation and training, having worked in various roles that involved teaching process improvement to both production employees and executives.In addition to his academic role, Dr. Bailey is a certified Six Sigma Black Belt and actively trains Six Sigma Green Belts and Black Belts. His research interests focus on enhancing organizational performance through quality initiatives such as the Malcolm Baldrige National Quality Award Process, Six Sigma, and Lean methodologies. On Coursera, he teaches several courses related to Six Sigma, including Six Sigma Principles, Six Sigma Advanced Analyze Phase, and Six Sigma Tools for Define and Measure. His commitment to quality improvement extends to his involvement as an examiner for the Malcolm Baldrige National Quality Award and state awards in North Carolina and Georgia.

Six Sigma Tools for Improve and Control

This course includes

6 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.