Six Sigma Black Belt (SSBB) Certification


A Six Sigma Black Belt will be an expert on the subject matters of Lean Manufacturing and statistical analysis. Their goals are to reduce the variation of a process and shift the process performance to a desired target.

They usually work as full-time Black Belts and mentor Green Belts. Black Belts often provide training to newer Black Belts and Green Belts.

Some companies will keep their Black Belts as full-time, others will have a repatriation process where top performers become certified and a few years later are placed back into a non Six Sigma role in the company.

Black Belt - Online Course

Typical Certification requirements:

  • 160-360 hours of coursework
  • Proof of at least one project completion - fluency of core tools
  • Evidence using project management tools
  • Evidence showing application of statistics and hypothesis testing
  • Evidence of understanding the Lean principles
  • Mentoring of other Black Belts, Green Belts, White Belts, or Yellow Belts
  • Written examination
  • References

Black Belts should possess a complete understanding of basic statistics and hypothesis testingThe objective is that the training will carry over into the work behavior and habits of each repatriate and the company will develop a foundation that operates within these principles.

Black Belts are also expected to have ability to run a DOE but these frequently will involve a Master Black Belt due to risk of investment.

Black Belt certifications programs are more rigorous than the Green Belt program but less than Master Black Belt programs. Projects tend to be of higher value and complexity than a Green Belt project.

There are also over 100 example certification problems available for subscribers of this site. Many of the problems have further explanations along with additional developmental material that can be found within this site.

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The following presentations are available to download.

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Green Belt Program (1,000+ Slides)

Basic Statistics


Process Mapping

Capability Studies


Cause & Effect Matrix


Multivariate Analysis

Central Limit Theorem

Confidence Intervals

Hypothesis Testing

T Tests

1-Way Anova Test

Chi-Square Test

Correlation and Regression


Control Plan


Error Proofing

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