Lean Six Sigma Green Belt
This comprehensive program takes you from the foundational concepts of process improvement to advanced project execution using the…

Learning goals
- Lead and manage Lean Six Sigma Green Belt improvement projects using the DMAIC framework.
- Analyze complex process data using statistical tools, hypothesis testing, and regression analysis.
- Measure process capability and evaluate measurement systems using Gauge R&R.
- Identify root causes of defects and variation using Value Stream Mapping, Fishbone Diagrams, and FMEA.
- Implement Lean solutions, including 5S, Kanban, Poka-Yoke, and Standard Work to eliminate waste.
- Establish Statistical Process Control (SPC) and Control Plans to sustain process improvements long-term.
Skills you'll gain
• Project Leadership & Team Dynamics
• Advanced DMAIC Methodology
• Root Cause Analysis (RCA)
• Statistical Process Control (SPC)
• Descriptive & Inferential Statistics
• Hypothesis Testing & ANOVA
• Process Capability (Cp & Cpk)
• Measurement System Analysis (Gage R&R)
Course description
This comprehensive program takes you from the foundational concepts of process improvement to advanced project execution using the DMAIC framework. As a Green Belt, you will learn how to lead cross-functional improvement initiatives, analyze complex process performance, and apply statistical tools to solve quality issues at their root cause. You will work with practical data sets to map processes, perform variance analyses, and implement sustainable controls.
Through 12 advanced modules and realistic process improvement case studies, you will develop the strategic, analytical, and leadership skills that modern organizations require. By the end of this course, you will have a deep portfolio of optimization tools and be fully prepared to pass your certification exam and lead your own projects.
Requirements
- Basic understanding of business processes or Lean Six Sigma concepts (Yellow Belt knowledge is helpful but not strictly required).
- A computer with spreadsheet software (Microsoft Excel, Google Sheets) or statistical software.
- Basic familiarity with simple math and high-school algebra (no advanced statistics background required—all concepts are taught from scratch).
Intended audience
- Quality engineers, process owners, project managers, and team leads driving process efficiency.
- Operations, supply chain, healthcare, finance, and manufacturing professionals.
- Yellow Belts looking to advance their skill set and lead independent improvement initiatives.
- Professionals seeking an industry-recognized Green Belt certification to advance their careers.
Course curriculum
01 Introduction to Lean Six Sigma & Green Belt Role
Lesson 1.1: Fundamentals of Lean Six Sigma & Belt Hierarchy
Lesson 1.2: Role of the Green Belt & Leading Improvement Teams
Lesson 1.3: Linking Projects to Business Strategy & Organizational Goals
Lesson 1.4: Change Management & Overcoming Resistance
02 Define Phase – Project Selection & Execution
03 Measure Phase – Process & Data Analytics
04 Analyze Phase – Root Cause Analysis & Statistics
05 Improve Phase – Solution Generation & Piloting
06 Control Phase – Process Control & Project Closure
07 Course Review & Final Certification
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Frequently asked questions
Q1. Who is this course intended for?
This course is designed for quality managers, project leaders, engineers, operations specialists, and professionals who want to lead business improvement projects and make data-driven decisions.
Q2. Do I need to be a Yellow Belt first before taking this course?
No, a Yellow Belt is not a strict prerequisite. This course covers everything from foundational principles to advanced statistical concepts, making it accessible to driven professionals with a basic grasp of business processes.
Q3. Does this course require specialized statistical software?
We use standard data analysis tools like Microsoft Excel for the calculations. Optional tutorials using tools like Minitab or SigmaXL are included to give you flexibility depending on your workplace tools.
Q4. What is the scope of a Green Belt project compared to a Black Belt?
Green Belts generally manage localized, department-level projects that require moderate statistical analysis, working on a part-time basis. Black Belts lead large, enterprise-wide strategic projects full-time and tackle highly complex statistical problems.
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