Lean Six Sigma Green Belt: Analyze & Improve

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

Instructor: EDUCBA

Access provided by ExxonMobil

3 modules

Gain insight into a topic and learn the fundamentals.

8 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

8 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Apply DMAIC to improve process efficiency and quality.
Use tools like SIPOC, FMEA, DOE, and regression analysis.
Implement and sustain Lean Six Sigma improvements effectively.

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

13 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 3 modules in this course

By the end of this course, learners will be able to define project scope, apply Lean tools to eliminate waste, measure process performance with statistical methods, analyze data to identify root causes, and implement sustainable improvements. Designed around the DMAIC methodology, this course equips learners with practical tools such as SIPOC, VOC, QFD, MSA, regression, ANOVA, DOE, and FMEA.

Learners will benefit by gaining a strong foundation in Six Sigma and Lean principles, enabling them to drive efficiency, reduce variation, and achieve measurable business outcomes. Each module provides hands-on exposure to real-world scenarios, ensuring participants can translate theory into practice. What makes this course unique is its comprehensive alignment with Green Belt exam preparation, structured practice and graded quizzes, and emphasis on both technical rigor and organizational change management. Learners will not only master statistical analysis but also develop the leadership mindset required to guide teams and sustain improvements. This ensures readiness for both certification success and career advancement in process excellence.

This module introduces learners to the fundamentals of Six Sigma, Lean thinking, and waste reduction. Participants will explore the Define phase, Voice of the Customer (VOC), project charters, and Lean tools such as 5S, Poka Yoke, SMED, and Kanban. By the end of this module, learners will understand how to identify customer needs, outline project scope, and apply Lean methods for improving efficiency.

What's included

16 videos4 assignments

16 videos Total 75 minutes

Introduction - Till Measure 3 minutes
Introduction - Till Change Management 3 minutes
Six Sigma Team Formation 4 minutes
Introduction To Define 4 minutes
VOC - Voice of Customer 1 minute
QFD - Quality Functional Deployment 5 minutes
Define Tools 3 minutes
Project Charter 3 minutes
Introduction to Lean & Theory of Constraints 10 minutes
Introduction to Lean & Theory of Constraints Continues 10 minutes
Value stream mapping 11 minutes
7 Wastes 6 minutes
5 S 4 minutes
Poka Yoke 1 minute
SMED 4 minutes
Lean - Kanban 2 minutes

4 assignments Total 60 minutes

Graded-Foundations of Six Sigma and Lean Concepts 30 minutes
Introduction and Six Sigma Basics 10 minutes
Define Phase Tools and Customer Focus 10 minutes
Lean Principles and Waste Reduction 10 minutes

This module emphasizes the Measure phase of Six Sigma, where data accuracy and statistical foundations are established. Learners will explore Measurement System Analysis (MSA), descriptive statistics, control charts, process capability indices, and hypothesis testing. By mastering these tools, learners will be equipped to collect valid data and evaluate process performance with confidence.

What's included

14 videos4 assignments

14 videos Total 81 minutes

Introduction to Measure and Balance score 6 minutes
Measure - MSA 5 minutes
Data Collection Basics 7 minutes
Sampling and Data Types 8 minutes
Descriptive Statistics 2 minutes
Process Capability Concepts 9 minutes
Process Capability Indices 4 minutes
Control Charts and Variability 2 minutes
Understanding Normal Distribution 4 minutes
Hypothesis Testing Foundations 5 minutes
Advanced Hypothesis Testing 12 minutes
Regression and Correlation Basics 4 minutes
Advanced Regression Techniques 7 minutes
Summary and Review 6 minutes

4 assignments Total 60 minutes

Graded-Measure Phase – Building the Analytical Foundation 30 minutes
Introduction to Measure Phase 10 minutes
Statistical Foundations and Process Capability 10 minutes
Advanced Measurement and Review 10 minutes

This module guides learners through the Analyze, Improve, and Control phases of DMAIC. It covers tools for root cause identification, regression, correlation, ANOVA, DOE, Multi-Vari, FMEA, risk analysis, and process optimization. Learners will also explore solution implementation, pilot testing, and sustaining improvements to achieve long-term process excellence.