Lean Six Sigma - Green Belt
Packt
Packt's Green Belt course on the DMAIC cycle (Define, Measure, Analyze, Improve, Control), covering process metrics, the seven basic quality tools, process mapping, statistical process control and waste reduction. Learners can scope and run a small process-improvement project.
More resources on Six Sigma
Statistics for Experimenters: Design, Innovation, and Discovery (2nd Edition)
The standard reference on design of experiments: factorial and fractional factorial designs, blocking, response surface methods, and sequential experimentation. Written by the statisticians who developed much of the theory that Black Belt improve-phase work depends on.
Introduction to Statistical Quality Control, 8th Edition
Standard engineering-statistics text on statistical process control: Shewhart, CUSUM and EWMA charts, process capability, measurement system capability, acceptance sampling, and factorial experiments. Frames DMAIC as the organizing strategy and derives the mathematics rather than asserting it.
The Six Sigma Handbook, Sixth Edition
Reference covering the full DMAIC cycle for Green and Black Belt work: project selection, measurement systems analysis, hypothesis testing, regression, design of experiments, and control plans. The sixth edition adds machine learning, big data, and healthcare applications.
Six Sigma Principles (Kennesaw State University)
First course in Kennesaw State's Yellow Belt sequence. Covers Six Sigma foundations, belt roles, the seven basic quality tools, DPMO and sigma-level metrics, team dynamics, and Lean principles. The free audit track gives full video and reading access.
Six Sigma Tools for Improve and Control
Fourth course in Kennesaw State University's Six Sigma Yellow Belt specialization, covering correlation and regression, hypothesis testing, kaizen and the PDCA cycle, quality costing, and control charts. Learners can complete the Analyze, Improve, and Control phases of a DMAIC project.