By the end of this course, learners will be able to define project scope, apply Lean tools to eliminate waste, measure process performance with statistical methods, analyze data to identify root causes, and implement sustainable improvements. Designed around the DMAIC methodology, this course equips learners with practical tools such as SIPOC, VOC, QFD, MSA, regression, ANOVA, DOE, and FMEA.



Lean Six Sigma Green Belt: Analyze & Improve
This course is part of Lean Six Sigma Green Belt Professional Training Specialization

Instructor: EDUCBA
Access provided by SGCSRC
What you'll learn
Apply DMAIC to improve process efficiency and quality.
Use tools like SIPOC, FMEA, DOE, and regression analysis.
Implement and sustain Lean Six Sigma improvements effectively.
Skills you'll gain
- Project Scoping
- Lean Six Sigma
- Data Analysis
- Organizational Leadership
- Lean Methodologies
- Organizational Change
- Process Capability
- Statistical Analysis
- Six Sigma Methodology
- Process Improvement
- Waste Minimization
- Statistical Hypothesis Testing
- Continuous Quality Improvement (CQI)
- Statistical Methods
- Kanban Principles
- Process Analysis
- Root Cause Analysis
- Quality Improvement
Details to know

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13 assignments
October 2025
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There are 3 modules in this course
This module introduces learners to the fundamentals of Six Sigma, Lean thinking, and waste reduction. Participants will explore the Define phase, Voice of the Customer (VOC), project charters, and Lean tools such as 5S, Poka Yoke, SMED, and Kanban. By the end of this module, learners will understand how to identify customer needs, outline project scope, and apply Lean methods for improving efficiency.
What's included
16 videos4 assignments
This module emphasizes the Measure phase of Six Sigma, where data accuracy and statistical foundations are established. Learners will explore Measurement System Analysis (MSA), descriptive statistics, control charts, process capability indices, and hypothesis testing. By mastering these tools, learners will be equipped to collect valid data and evaluate process performance with confidence.
What's included
14 videos4 assignments
This module guides learners through the Analyze, Improve, and Control phases of DMAIC. It covers tools for root cause identification, regression, correlation, ANOVA, DOE, Multi-Vari, FMEA, risk analysis, and process optimization. Learners will also explore solution implementation, pilot testing, and sustaining improvements to achieve long-term process excellence.
What's included
18 videos5 assignments
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