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Coursera

Lean Six Sigma Green Belt: Apply & Master Skills

EDUCBA via Coursera

Overview

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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.

Syllabus

  • Building the Foundation
    • This module introduces learners to the Lean Six Sigma methodology, project selection tools, and foundational project management practices. Participants will learn to define project scope, articulate problem statements, and set measurable goals using structured frameworks.
  • Voice of the Customer & Data Basics
    • This module emphasizes capturing the Voice of the Customer (VOC), translating customer requirements into measurable Critical to Quality (CTQ) metrics, and building a strong foundation in statistical basics, including data sampling and distribution. Learners also gain skills in Measurement System Analysis (MSA) to ensure data accuracy.
  • Mastering Analysis
    • This module guides learners through the Analyze Phase of DMAIC, equipping them with tools to identify root causes using process mapping, graphical analysis, and statistical testing. Learners will master hypothesis testing methods, including T-tests, ANOVA, and Chi-Square.
  • Driving Improvement & Managing Risks
    • This module equips learners with tools and strategies to improve processes and manage risks. Participants will explore correlations, regression modeling, Lean tools like 5S and Kaizen, error-proofing methods, and risk management practices to sustain improvements.

Taught by

EDUCBA

Reviews

4.8 rating at Coursera based on 53 ratings

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