Lean Six Sigma Statistics: Practical Methods & Techniques
Enhance your process improvement skills with this expert-led Lean Six Sigma statistics course. Learn to apply statistical tools and methodologies essential for Lean Six Sigma projects. This course bridges the gap between statistical theory and real-world application, giving you the confidence to drive data-driven decision-making in any organization.
What You’ll Learn
- Key statistical methods used in Lean Six Sigma
- Using Minitab and Excel for data analysis
- Understanding variation, control charts, and capability analysis
- Applying hypothesis testing and regression analysis
- Design of Experiments (DOE) for process optimization
- Root cause analysis and measurement system analysis (MSA)
- Interpreting statistical outputs for project decisions
Requirements
- Basic knowledge of Lean Six Sigma concepts (Green Belt level recommended)
- Familiarity with Excel; Minitab is a plus but not mandatory
- Interest in process improvement and data analysis
Course Description
This Lean Six Sigma statistics course is designed for professionals seeking to strengthen their statistical analysis skills within a Lean Six Sigma framework. Statistics are the backbone of Six Sigma, and this course ensures you are equipped with practical, easy-to-apply tools to interpret data and make informed process decisions.
You will start with foundational concepts like types of data and graphical analysis, then progress to advanced methods such as ANOVA, regression, DOE, and capability studies. Using tools like Excel and Minitab, you’ll perform hands-on exercises to reinforce your learning. The course also focuses on translating statistical results into actionable insights that support project success and organizational goals.
Whether you’re a Six Sigma Green Belt, Black Belt, or quality professional, this course will empower you to drive performance improvements with confidence and clarity.
About the Instructor
Led by certified Six Sigma Black Belts with years of experience in quality improvement and statistical analysis, this course provides a practical approach to statistics that aligns with real-world business challenges.
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- Lean Six Sigma Green Belt
- Quality Management Tools
- Data Analysis with Excel
- Minitab for Beginners
- Advanced Statistical Methods
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