Lean Six Sigma Green Belt: Apply & Master Skills

This course is part of Lean Six Sigma Green Belt Professional Training Specialization

Instructor: EDUCBA

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4 modules

Gain insight into a topic and learn the fundamentals.

50 reviews

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

50 reviews

1 week to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Apply DMAIC to improve and control business processes.
Use Lean Six Sigma tools like SIPOC, 5S, and regression.
Analyze data to identify, implement, and sustain improvements.

Skills you'll gain

Tools you'll learn

Project Management Software

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

16 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Lean Six Sigma Green Belt Professional Training Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

By the end of this course, learners will be able to define project goals, analyze processes, apply statistical tools, improve workflows, and control outcomes using Lean Six Sigma Green Belt techniques.

This comprehensive program equips professionals with the skills to drive process improvements and deliver measurable business impact. Learners will gain practical experience in using tools such as DMAIC, prioritization matrices, SIPOC, process mapping, hypothesis testing, correlation, regression, and Lean methods like 5S, Kaizen, and Poka Yoke. Through engaging lessons, real-world examples, and Excel-based demonstrations, participants will develop the ability to evaluate data, implement improvements, and mitigate risks effectively. What makes this course unique is its balanced integration of theory, practical applications, and step-by-step tool demonstrations, ensuring that learners can confidently apply their knowledge to real organizational challenges. With structured modules and graded practice quizzes, this course ensures mastery of core concepts while building confidence to lead projects that improve quality, efficiency, and customer satisfaction. Ideal for professionals seeking to advance their careers, earn Green Belt certification, and make a tangible impact, this course empowers learners to transform data into actionable solutions.

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.

What's included

11 videos4 assignments

11 videosTotal 97 minutes

Introduction to Course12 minutes
Dmaic Concept13 minutes
Understanding Define Phase9 minutes
Prioritization Matrix10 minutes
Prioritization Matrix - Project Selection2 minutes
Problem Statement and Project Goal12 minutes
Critical Path Method3 minutes
Critical Path Method Continued7 minutes
Gantt Chart13 minutes
Sipoc Analysis12 minutes
Project Charter6 minutes

4 assignmentsTotal 60 minutes

Graded-Building the Foundation30 minutes
Getting Started with Lean Six Sigma10 minutes
Defining the Right Projects10 minutes
Laying the Project Groundwork10 minutes

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.

What's included

10 videos4 assignments

10 videosTotal 83 minutes

VOC - Voice of Customer10 minutes
VOC Methods7 minutes
CTQ - Critical to Quality and Drilldown Trees11 minutes
Central Tendency11 minutes
Sampling Techniques and Normal Distribution8 minutes
Kolmogrov Smirnov Test3 minutes
Introduction to Standard Deviation5 minutes
Implementing Standard Deviation using MS Excel6 minutes
MSA - introduction and Assessment Points10 minutes
MSA - Benefits Significance and Best Practices14 minutes

4 assignmentsTotal 60 minutes

Graded-Voice of the Customer & Data Basics30 minutes
Capturing the Customer’s Voice10 minutes
Understanding Data Fundamentals10 minutes
Measuring with Accuracy10 minutes

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.

What's included

11 videos4 assignments

11 videosTotal 72 minutes

Course Contents - Analyze Phase2 minutes
Steps in Analyze Phase7 minutes
Process Map Analysis7 minutes
Graphical Analysis5 minutes
Statistical Analysis6 minutes
Benefits - Process and Graphical Analysis10 minutes
Benefits - Statistical Analysis8 minutes
Introduction to tests of Significance - T Anova CHI3 minutes
Implementation of T - Test Using Excel9 minutes
Implementation of Anova and CHI-Test Using Ms Excel4 minutes
Implementation of Anova12 minutes

4 assignmentsTotal 60 minutes

Graded-Mastering Analysis30 minutes
Exploring the Analyze Phase10 minutes
Uncovering Insights Through Data10 minutes
Applying Statistical Tests10 minutes

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.

What's included

19 videos4 assignments

19 videosTotal 175 minutes

Introduction to Correlation Concept7 minutes
Types of Correlations7 minutes
Correlations Using Trend Lines and Numeric Values8 minutes
Correlations - Scatter Plots and Trendlines7 minutes
Implementation of Correlations Using Ms Excel - Example Rent13 minutes
Implementation of Correlations Using Ms Excel - Example Bitcoins8 minutes
Introduction to Regression Modelling10 minutes
Example - Financial Market Regression Model15 minutes
Example - Financial Market Output Interpretation10 minutes
Example - Maintenance Regression Model and Predicted Values11 minutes
Example - Maintenance Regression Output Interpretation6 minutes
Introduction to Improve Phase3 minutes
Improve Phase - Steps And Activities8 minutes
Tools - 5S 7Wastes15 minutes
Tools - Design Of Experiments9 minutes
Tools - Kaizen7 minutes
Tools - Poka Yoke8 minutes
Risk Identification14 minutes
Risk Analysis and Mitigation9 minutes

4 assignmentsTotal 60 minutes

Graded-Driving Improvement & Managing Risks30 minutes
Finding Relationships in Data10 minutes
Regression & Prediction10 minutes
Improvement Tools & Risk Management10 minutes

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Instructor

Instructor ratings

(28 ratings)

EDUCBA

1,468 Courses313,872 learners

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EDUCBA

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Reviewed on Jan 28, 2026

Good material and explanations. Minus a star for not including the course materials / power points he used and creating during the videos.

Reviewed on Jan 4, 2026

This course offers strong coverage of both statistical and Lean tools. The focus on real organizational challenges adds great practical value.

Reviewed on Jan 5, 2026

This course provides an excellent balance between theory and hands-on application. The DMAIC framework and real-world examples make learning very effective.

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