The Six Sigma Certification Training Course is designed to equip professionals with the methodologies, tools, and techniques required to improve business processes, enhance product quality, and reduce operational inefficiencies. Rooted in data-driven decision-making, this program emphasizes the DMAIC (Define, Measure, Analyze, Improve, Control) framework, statistical analysis, and quality management principles. Through practical case studies and real-world applications, learners develop a deep understanding of process improvement and problem-solving strategies.
Whether you’re from manufacturing, IT, healthcare, or service industries, this course helps you lead continuous improvement projects and drive measurable business results. By the end of the training, you’ll gain the skills to identify root causes, minimize defects, and ensure sustained operational excellence—preparing you for Six Sigma Green Belt or Black Belt certification and leadership roles in quality management.
Module 1: Introduction to Six Sigma Overview of Six Sigma and its history Benefits and applications in various industries Understanding the roles: Green Belt, Black Belt, Master Black Belt Key concepts: Quality, Process, Variation.
Module 2: Six Sigma Methodologies Introduction to DMAIC (Define, Measure, Analyze, Impr.ove, Control) Lean Six Sigma fundamentals Process improvement strategies.
Module 3: Define Phase Identifying project goals and scope Voice of Customer (VOC) analysis SIPOC (Suppliers, Inputs, Process, Outputs, Customers) mapping Project charter creation.
Module 4: Measure Phase Data collection techniques and measurement systems Process capability analysis Introduction to SPC (Statistical Process Control) Key metrics: DPMO, Sigma Level, Defects.
Module 5: Analyze Phase Root cause analysis tools: Fishbone Diagram, 5 Whys Pareto analysis Hypothesis testing and regression analysis Identifying process bottlenecks and variation.
Module 6: Improve Phase Process optimization techniques Lean tools: 5S, Kaizen, Value Stream Mapping Design of Experiments (DOE) Solution implementation and pilot testing.
Module 7: Control Phase Monitoring and controlling improvements Control charts and SPC for long-term success Standard Operating Procedures (SOPs) Sustaining process improvements.
Module 8: Advanced Statistical Tools Advanced Minitab and Excel techniques Correlation and regression analysis ANOVA (Analysis of Variance) Predictive analytics in process improvement.
Module 9: Six Sigma Project Implementation Real-world project case studies End-to-end project execution using DMAIC Risk assessment and mitigation strategies.
Module 10: Certification Preparation & Assessment Mock tests and practice exercises Tips for Green Belt / Black Belt certification exams Review of key concepts and project learnings.
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