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Course Description

Whether you are leading a Six Sigma project or supporting one, mastering Six Sigma tools is crucial for successful process improvement. This course equips you to engage with the essential tools from the ASQ Six Sigma Black Belt Body of Knowledge. You will have the chance to implement tools such as bow-tie diagrams, risk matrices, event trees, fault trees, and quality function deployment. You will also apply tools such as failure mode and effect analysis, quality control charts, and design of experiments, providing a comprehensive toolkit for process improvement. Through practical exercises and case studies, you will practice and refine these methodologies in various organizational contexts, gaining confidence in driving quality and efficiency in your organization and beyond.

This course requires you to complete various statistical calculations using Microsoft Excel or another tool, language, or software of your choice.

You are required to have completed the following course or have equivalent experience before taking this course:

  • Six Sigma Statistics Essentials

Faculty Author

Linda K. Nozick

Benefits to the Learner

  • Implement the Core Six Sigma tools as per the ASQ Six Sigma Black Belt Body of Knowledge
  • Build a comprehensive toolkit for process improvement

Target Audience

  • Engineers
  • Project managers
  • Business leaders
  • Operations and production managers
  • Product managers
  • Business analysts
  • Consultants
  • Professionals working toward a Six Sigma certification

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in
Type
2 week
Dates
May 07, 2025 to May 20, 2025
Total Number of Hours
20.0
Course Fee(s)
Regular Price $999.00
Type
2 week
Dates
Jun 18, 2025 to Jul 01, 2025
Total Number of Hours
20.0
Course Fee(s)
Regular Price $999.00
Type
2 week
Dates
Sep 10, 2025 to Sep 23, 2025
Total Number of Hours
20.0
Course Fee(s)
Regular Price $999.00
Type
2 week
Dates
Dec 03, 2025 to Dec 16, 2025
Total Number of Hours
20.0
Course Fee(s)
Regular Price $999.00
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