
Six Sigma Green Belt
Apply Six Sigma DMAIC methodology and statistical tools to drive process improvement and defect reduction.
Course Description
This advanced course develops proficiency in Six Sigma methodology for process improvement. Master the DMAIC (Define, Measure, Analyze, Improve, Control) framework, statistical analysis tools, and lean principles to reduce defects, eliminate waste, and improve process performance in any organizational context.
Who Should Attend
- Process improvement professionals
- Quality engineers and analysts
- Project managers leading improvement initiatives
- Operations managers seeking data-driven methods
Learning Objectives
- 1Apply the DMAIC framework to improvement projects
- 2Use statistical tools for data collection and analysis
- 3Identify root causes and develop data-driven solutions
- 4Implement process controls to sustain improvements
- 5Lead Six Sigma projects within organizational teams
Prerequisites
- Basic understanding of quality management concepts
- Familiarity with basic statistics is helpful
Course Modules
Day 1: Six Sigma Overview and Define Phase
Six Sigma history and principles; Lean Six Sigma integration; DMAIC methodology overview; the Define phase: project charter development; voice of the customer (VOC); SIPOC diagrams; problem and goal statements; project scope and team formation.
Day 2: Measure Phase — Data Collection and Process Baseline
Data collection planning; types of data (continuous, discrete); measurement system analysis (Gage R&R); process mapping and value stream mapping; process capability analysis (Cp, Cpk); establishing baseline metrics; and basic statistics review.
Day 3: Analyze Phase — Root Cause Identification
Cause-and-effect diagrams; 5 Whys analysis; hypothesis testing (t-tests, chi-square, ANOVA); regression and correlation analysis; failure mode and effects analysis (FMEA); multi-vari studies; and data-driven root cause verification.
Day 4: Improve Phase — Solution Development and Testing
Solution generation and selection; design of experiments (DOE); full and fractional factorial designs; pilot testing and validation; implementation planning; mistake-proofing (Poka-Yoke); and stakeholder management during improvement.
Day 5: Control Phase, Project Closure, and Certification Exam
Statistical process control (SPC) charts; control plans; process documentation and standardization; training and knowledge transfer; project closure and benefits verification; lessons learned; and the Green Belt certification exam.
Exam Details
Duration
3 hours
Format
Multiple choice (150 questions), closed book
Passing Score
70%
Retake Policy
Free retake within 12 months after first failure
Available in:
Certification
PECB Certified Six Sigma Green Belt
Issued by PECB
Digital Badge & Verification

Verified via Credly
Upon passing the exam, your certificate will be issued as a digital badge via Credly. This badge can be shared on LinkedIn, embedded in your email signature, and verified by anyone at any time.


