📊 Lean Six Sigma — Green/Black Belt (Exam-Prep)
Independent exam-prep covering the public Lean Six Sigma DMAIC syllabus, with original practice questions and a completion certificate.
Last updated: June 2026
Independent, in-depth exam-preparation across the full Lean Six Sigma Body of Knowledge — enterprise deployment, DMAIC (Define, Measure, Analyze, Improve, Control), Lean tools, probability and statistics, hypothesis testing, DOE and SPC — so you can master the concepts in your own words and self-test before sitting an ASQ Green or Black Belt exam. The course is organized into 12 modules, ending with a final exam (pass mark 70%). It is independent, free exam-preparation training — not an official or accredited review course.
What you'll learn
- Six Sigma & Lean: Philosophy and Organizational Deployment
- Define: Charters, VOC, CTQ & SIPOC
- Team Management & Leadership
- Measure: Process Mapping, Data Collection & Measurement Systems Analysis
- Measure: Process Capability & Six Sigma Metrics
- Analyze: Exploratory Data Analysis & Multi-Vari Studies
- Analyze: Hypothesis Testing & Confidence Intervals
- Analyze: Correlation & Regression
- Improve: Design of Experiments (DOE)
- Improve: Lean Tools — 5S, Kanban, Kaizen, TPM, SMED, and VSM
- Control: SPC, Control Plans & Mistake-Proofing
- Risk, FMEA & Sustaining Gains
Learning objectives
- Explain Lean, Six Sigma, the belt roles and how projects are deployed and selected by leadership
- Apply the DMAIC roadmap and distinguish it from DMADV / DFSS
- Translate Voice of the Customer into measurable CTQs and a tight project charter and SIPOC
- Compute DPMO, yield, sigma level, Cp and Cpk and read process capability
- Validate data with measurement-system analysis and Gage R&R
- Use probability distributions, the central limit theorem and confidence intervals
- Run hypothesis tests (t, ANOVA, chi-square), regression and correlation correctly
- Design experiments (DOE), error-proof with Poka-Yoke and run Kaizen events
- Sustain gains with SPC control charts, control plans and standard work