Six Sigma Green Belt Advanced

This 6 day course is for those who have completed Foundation training and wish to learn Advanced Green Belt skills.

The course comprise two 3 day modules, typically delivered in successive weeks.

The course provides in depth understanding of the statistical techniques used to implement Green Belt projects.

It is ideal for members of Lean Six Sigma project teams and for a wide range of positions including managers, consultants, change agents, project managers, team leaders, facilitators, team members, anyone involved in Lean Six Sigma projects, quality personnel engineers etc.

Provide the confidence and skills necessary to use Minitab and Six Sigma statistical techniqes to improvement projects.

Consolidate Green Belt skills and prepare a solid foundation for Black Belt training.

Statistics 1 topics include:

- Introduction to MINITAB™ Statistical Software - Normality (Central Limit Theorem, P-values, Transforming Data)
- Sampling (Random and Process Sampling, Determining Sample Sizes, Selecting Samples)
- Measurement System Analysis (Data Types, Gauge R&R, Attribute Agreement Analysis)
- Introduction to Hypothesis Tests (Z- and t-tests)

Statistics 2 topics include:

- Hypothesis Tests (Analysis of Variance and Chi-Square Tests)
- Regression (Simple, Multiple, Binary Logistic)
- Control Charts (Continuous and Attribute Data Charts)
- Process Sigma (Short and Long-Term Sigma, Determining Process Shift, Improvement Strategies)
- Introduction to Designed Experiments (Full and Fractional Factorial Designs)