Build practical Lean Six Sigma Green Belt skills to define improvement projects, analyze process performance, improve workflows, and control outcomes. You’ll begin with the DMAIC framework and learn to select and prioritize projects, write effective problem and goal statements, and establish project foundations using Critical Path, Gantt charts, SIPOC, and project charters.

You’ll then capture the Voice of the Customer, translate requirements into Critical to Quality metrics, and strengthen your understanding of sampling, data distributions, normality, standard deviation, and Measurement System Analysis. As you progress, you’ll use process mapping, graphical analysis, T-tests, ANOVA, and Chi-Square to identify root causes and evaluate process variation. Finally, you’ll explore correlation, scatter plots, regression modeling, design of experiments, risk mitigation, and Lean improvement tools such as 5S, Kaizen, and Poka Yoke. Excel-based demonstrations, real-world examples, structured lessons, and graded practice quizzes connect statistical theory with practical application. Designed for professionals pursuing Green Belt certification or seeking to improve quality, efficiency, and customer satisfaction, this course prepares you to turn process data into actionable solutions and confidently support Lean Six Sigma improvement projects.