I-CERT Six Sigma Green Belt Level 2 Certification is an advanced professional qualification designed for Learners who want to enhance their expertise in Six Sigma methodologies, process improvement, and data-driven quality management. It builds upon foundational Green Belt knowledge and develops the advanced skills required to analyse complex processes and implement effective improvement strategies.
This certification focuses on advanced Six Sigma concepts, including DMAIC methodology, statistical analysis, root cause identification, process optimisation, performance measurement, and continuous improvement techniques. Learners gain the ability to support and lead improvement projects that deliver measurable improvements in efficiency, quality, and operational performance.
The course is ideal for professionals working in quality management, operations, engineering, project management, and business improvement roles who want to strengthen their analytical and leadership capabilities. It helps experienced practitioners apply Six Sigma tools more effectively in real organisational environments.
By completing the I-CERT Six Sigma Green Belt Level 2 Certification, Learners develop advanced problem-solving expertise and improve their ability to contribute to sustainable process improvements and operational excellence across multiple industries.
Program Highlights
Study Units
The Six Sigma Green Belt Level 2 Certification spans 80–100 hours with 100 MCQs, providing learners advanced skills in process improvement, Lean Six Sigma tools, and project leadership.
- Introduction to Six Sigma
- Six Sigma History and Practical Applications
- Process Improvement and Quality Methodologies
- Lean Principles and Concepts
- Core Six Sigma Concepts
- Structured Problem-Solving Approaches
- Understanding Business Processes
- Quality Fundamentals
- Project Selection and Prioritization
- Six Sigma Team Roles and Collaboration
- Introduction to DMAIC and DMADV
- Define Phase
- Measure Phase
- Analyze Phase
- Improve Phase
- Control Phase
- Intermediate Graphical Data Analysis
- Normal Probability Distributions
- Correlation and Regression Analysis
- Non-Normal Probability Distributions
- Hypothesis Testing Fundamentals
- Sample Size and Data Reliability
- Advanced Control Charts
- Applying Statistics to Business Through Six Sigma
Entry Requirements
The I-CERT Six Sigma Green Belt Level 2 Certification is designed for Learners who already have a foundation in Six Sigma and want to develop more advanced process improvement and analytical skills.
- Age Requirement:Learners should generally be 18 years or above
- Educational Background:A recognised qualification or equivalent professional experience is recommended
- Professional Experience:Extensive experience in senior management, quality leadership, or process improvement roles is essential
- English Proficiency: Learners should have a good understanding of English and strong communication skills.
Learning Outcomes
Upon completing the Six Sigma Green Belt Level 2 Certification, learners will gain advanced skills in process improvement, statistical analysis, and Lean Six Sigma project management. Key learning outcomes aligned with the 24 study units include:
1. Introduction to Six Sigma
- Understand Six Sigma principles and objectives
- Recognize the role of Six Sigma in organizational improvement
- Identify benefits and applications of Six Sigma
2. Six Sigma History and Practical Applications
- Explore the evolution of Six Sigma methodologies
- Understand real-world applications across industries
- Apply best practices to practical scenarios
3. Process Improvement and Quality Methodologies
- Apply structured process improvement techniques
- Integrate quality management frameworks
- Identify inefficiencies and improvement opportunities
4. Lean Principles and Concepts
- Understand Lean philosophy and waste elimination
- Apply Lean tools to enhance process efficiency
- Promote continuous improvement in workflows
5. Core Six Sigma Concepts
- Learn key Six Sigma terminology and metrics
- Understand process variation and capability
- Apply data-driven decision-making
6. Structured Problem-Solving Approaches
- Use systematic approaches to identify and solve problems
- Prioritize root causes for improvement
- Develop actionable improvement plans
7. Understanding Business Processes
- Map and analyze business processes
- Identify value-added and non-value-added activities
- Improve process efficiency and alignment with goals
8. Quality Fundamentals
- Implement quality measurement tools
- Monitor process performance
- Support continuous improvement initiatives
9. Project Selection and Prioritization
- Select high-impact Six Sigma projects
- Evaluate potential benefits and risks
- Prioritize initiatives based on strategic objectives
10. Six Sigma Team Roles and Collaboration
- Understand roles and responsibilities within Six Sigma teams
- Facilitate cross-functional collaboration
- Lead team initiatives effectively
11. Introduction to DMAIC and DMADV
- Learn structured problem-solving frameworks
- Apply DMAIC and DMADV in projects
- Enhance analytical and improvement capabilities
12. Define Phase
- Define project scope and objectives
- Identify key stakeholders
- Develop project charters
13. Measure Phase
- Collect and validate process data
- Measure performance metrics accurately
- Identify variation sources
14. Analyze Phase
- Conduct root cause analysis
- Use statistical tools to identify process issues
- Prioritize improvement actions
15. Improve Phase
- Develop and implement solutions
- Optimize processes using Lean Six Sigma tools
- Test and validate improvements
16. Control Phase
- Establish process control mechanisms
- Maintain improvements over time
- Monitor performance using control charts
17. Intermediate Graphical Data Analysis
- Visualize data trends and patterns
- Support informed decision-making
- Communicate analytical insights effectively
18. Normal Probability Distributions
- Apply normal distribution concepts to process data
- Identify deviations and trends
- Make data-driven decisions
19. Correlation and Regression Analysis
- Analyze relationships between variables
- Apply regression for predictive insights
- Use correlation to guide process improvements
20. Non-Normal Probability Distributions
- Handle processes with non-normal data
- Apply appropriate statistical methods
- Identify potential risks and patterns
21. Hypothesis Testing Fundamentals
- Formulate hypotheses for process improvement
- Conduct tests to validate assumptions
- Interpret results for actionable insights
22. Sample Size and Data Reliability
- Determine proper sample sizes for analysis
- Ensure data accuracy and reliability
- Support confident decision-making
23. Advanced Control Charts
- Monitor processes using control charts
- Detect variations and trends
- Maintain process stability and performance
24. Applying Statistics to Business Through Six Sigma
- Implement evidence-based improvement strategies
- Apply statistical methods to solve business problems
- Evaluate process performance using data
Target Audience
The I-CERT Six Sigma Green Belt Level 2 Certification is designed for professionals who want to advance their Six Sigma expertise and develop stronger capabilities in process improvement, data analysis, and quality management.
• Six Sigma Green Belt professionals seeking to enhance their knowledge and practical skills
• Quality managers and improvement specialists responsible for improving organisational performance
• Project managers involved in process optimisation and business improvement initiatives
• Operations managers and supervisors focused on increasing efficiency and reducing waste
• Engineers and technical professionals working with process analysis and performance improvement
• Business analysts and consultants applying data-driven approaches to solve organisational challenges
• Professionals supporting Lean Six Sigma projects and continuous improvement programmes
• Individuals preparing for advanced Six Sigma qualifications such as Black Belt certification
• Leaders who want to strengthen their problem-solving and analytical decision-making skills
This course is ideal for Learners who want to apply advanced Six Sigma techniques, lead improvement activities, and contribute to measurable organisational success.
