Are you ready to solve the problem for the last time?Six Sigma is a powerful combination of tools, concepts, techniques and principles designed to improve process performance and boost  bottom-line profits in any industry or service sector. Newman University offers a simplified, yet effective, approach to Six Sigma that can help you and your organization achieve a multitude of benefits:
- Increased bottom-line and “soft" cost savings
- Reduced cycle time
- Improved product and process quality
- Better customer service
- Enhanced employee satisfaction and buy-in.
Yellow Belt
Six Sigma Yellow Belt training introduces the fundamentals of Six Sigma to individual process owners and operators who can then act as team members on Six Sigma projects. Not only do these Yellow Belts gain the skills necessary to identify, monitor and control profit-eating practices in their own processes, but they are also prepared to feed that information to Green Belts and Black Belts working on larger system projects.
Green Belt (methods)
Designed to help the adult learner understand Six Sigma concepts and be able to apply their knowledge to a real problem. It also addresses the challenges of change management and data management.
Green Belt (statistics)
Develop an in-dept understanding of how computers and statistical software are essential components in the business world and society in general for exploring data in dept, data simulation, screening data for errors, manipulating data, performing transformations, focus on the use of the computer and statistical software as a valuable productivity and data analysis tool.
Black Belt
This is an advanced six-credit hour certificate program that can help you. Students will apply the tools and methods learned in the Yellow Belt, Green Belt courses to manage the various phases of the DMAIC (Define, Measure, Analyze, Improve and Control) and DFSS (Design for Six Sigma) project plan. Method of study may include: one and two sample t-test; analysis of variance; calculating process yield/rolled throughput yield; usage of continuous probability distributions; correlation usage and sampling methods.
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