I-CERT Lean Six Sigma Green Belt Level 2 Certification is an advanced professional qualification designed for Learners who want to deepen their expertise in Lean Six Sigma methodologies, data-driven decision-making, and structured process improvement. It builds on foundational knowledge and develops the analytical and leadership skills required to manage and support complex improvement initiatives.
This certification focuses on advanced Lean Six Sigma tools and techniques, including DMAIC and DMADV frameworks, statistical analysis, process optimisation, root cause analysis, and performance measurement. Learners gain the ability to evaluate business processes in detail, identify inefficiencies, and implement effective solutions that improve 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 enhance their problem-solving capabilities and contribute more effectively to organisational success.
By completing the I-CERT Lean Six Sigma Green Belt Level 2 Certification, Learners develop advanced skills to support continuous improvement projects, reduce process variation, and drive measurable efficiency gains across a wide range of industries.
Program Highlights
Study Units
The Lean Six Sigma Green Belt Level 2 Certification includes 24 study units over 90–110 hours, providing in-depth knowledge and practical skills to lead process improvement and enhance operational efficiency.
- What Is Six Sigma?
- Six Sigma History and Application
- Other Process Improvement and Quality Methods
- Lean Concepts
- Basic Six Sigma Concepts
- Approaching the Problem
- What is a Process?
- Quality
- Selecting the Right Projects
- Basic Six Sigma Team Management
- Introduction to DMAIC and DMADV
- Define
- Measure
- Analyze
- Improve
- Control
- Intermediate Graphical Analysis
- Normal Probability Distributions
- Correlation and Regression
- Non-Normal Probability Distributions
- Hypothesis Testing
- Sample Size
- Advanced Control Charts
- Applying Statistics to Business Applications Through Six Sigma
Entry Requirements
The I-CERT Lean Six Sigma Green Belt Level 2 Certification is designed for Learners who already have a foundational understanding of Lean Six Sigma and want to develop more advanced skills in process improvement and data analysis.
- 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 Lean Six Sigma Green Belt Level 2 Certification, learners will gain advanced knowledge and practical skills to drive process improvement and operational excellence. The learning outcomes aligned with the 24 study units include:
1. What Is Six Sigma?
- Understand the fundamentals and purpose of Six Sigma
- Recognize its role in process improvement and quality management
- Identify key concepts and terminology used in Six Sigma
- Explain the benefits of Six Sigma in business operations
2. Six Sigma History and Application
- Understand the historical development of Six Sigma
- Explore real-world applications across industries
- Recognize the impact of Six Sigma on operational efficiency
- Analyze case studies of successful Six Sigma implementation
3. Other Process Improvement and Quality Methods
- Gain awareness of alternative quality and improvement methodologies
- Compare Lean, Kaizen, Total Quality Management (TQM), and other approaches
- Understand their integration with Six Sigma initiatives
- Evaluate when to apply specific methodologies
4. Lean Concepts
- Understand core Lean principles and waste elimination
- Apply Lean tools to improve process efficiency
- Integrate Lean with Six Sigma for continuous improvement
- Identify opportunities to optimize workflows
5. Basic Six Sigma Concepts
- Understand key Six Sigma metrics and terminology
- Learn about process variation and performance measurement
- Apply Six Sigma principles to simple process problems
- Develop a foundation for advanced statistical analysis
6. Approaching the Problem
- Learn structured problem-solving techniques
- Define problems clearly using data and evidence
- Identify root causes systematically
- Develop actionable improvement strategies
7. What is a Process?
- Understand the components and flow of business processes
- Map and analyze processes effectively
- Identify inefficiencies and bottlenecks
- Recognize process inputs and outputs
8. Quality
- Understand quality concepts and standards
- Recognize customer requirements and expectations
- Apply quality measurement tools
- Integrate quality principles into process improvement
9. Selecting the Right Projects
- Learn criteria for identifying high-impact projects
- Evaluate project feasibility and benefits
- Align projects with organizational goals
- Prioritize initiatives for maximum value
10. Basic Six Sigma Team Management
- Understand team roles and responsibilities
- Apply effective team management practices
- Facilitate collaboration in process improvement projects
- Support leadership in Six Sigma initiatives
11. Introduction to DMAIC and DMADV
- Understand DMAIC and DMADV methodologies
- Identify when to use each approach
- Apply frameworks to structure process improvement projects
- Develop project charters and objectives
12. Define
- Clearly define project goals and scope
- Identify key stakeholders and requirements
- Develop process maps and project plans
- Set measurable objectives
13. Measure
- Collect and analyze process data
- Establish baseline performance metrics
- Identify sources of variation
- Use measurement tools to quantify process performance
14. Analyze
- Perform root cause analysis using data-driven methods
- Apply statistical techniques to identify process issues
- Use graphical and analytical tools for decision-making
- Prioritize improvement opportunities
15. Improve
- Design and implement process improvements
- Test solutions and validate results
- Apply Lean tools to optimize workflows
- Ensure improvements align with business objectives
16. Control
- Establish control plans to sustain improvements
- Use control charts and monitoring tools
- Ensure process stability and consistency
- Develop documentation for continuous improvement
17. Intermediate Graphical Analysis
- Apply charts and graphs to interpret process data
- Identify trends, patterns, and anomalies
- Make data-driven decisions
- Communicate findings effectively
18. Normal Probability Distributions
- Understand normal distribution and its applications
- Apply probability concepts to process performance
- Analyze data using statistical tools
- Make informed process improvement decisions
19. Correlation and Regression
- Understand relationships between variables
- Apply regression analysis for predictive insights
- Use correlation to identify process dependencies
- Support data-driven decision-making
20. Non-Normal Probability Distributions
- Identify non-normal data patterns
- Apply statistical methods for non-normal distributions
- Analyze and interpret non-standard process data
- Make reliable improvement recommendations
21. Hypothesis Testing
- Formulate and test hypotheses using statistical methods
- Make decisions based on data analysis
- Evaluate process changes and improvements
- Reduce uncertainty in decision-making
22. Sample Size
- Determine appropriate sample sizes for analysis
- Ensure statistical validity and accuracy
- Apply sampling techniques in process studies
- Support effective measurement and control
23. Advanced Control Charts
- Use advanced control charts for process monitoring
- Detect variation and trends in processes
- Ensure consistent quality and performance
- Support long-term process stability
24. Applying Statistics to Business Applications Through Six Sigma
- Apply statistical methods to solve real-world business problems
- Use data to drive process improvement initiatives
- Translate analysis into actionable business insights
- Demonstrate competency in Lean Six Sigma methodology
Target Audience
The I-CERT Lean Six Sigma Green Belt Level 2 Certification is designed for Learners who want to advance their knowledge of Lean Six Sigma and take a more active role in process improvement and data-driven decision-making.
• Professionals working in quality management, operations, engineering, or business improvement roles
• Project managers and team leaders involved in process optimisation and performance enhancement initiatives
• Supervisors and middle-level managers responsible for improving efficiency, productivity, and workflow processes
• Lean Six Sigma Green Belt Level 1 holders who want to progress to a more advanced level
• Engineers, analysts, and technical staff involved in data analysis and process optimisation activities
• Business professionals supporting continuous improvement and organisational development projects
• Individuals preparing for advanced Lean Six Sigma certifications such as Black Belt Level 1 or Level 2
• Consultants and practitioners aiming to strengthen their problem-solving and analytical skills
This course is ideal for Learners who want to apply advanced Lean Six Sigma tools, improve organisational performance, and contribute to measurable process improvements.
