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 SGCSRC

3 modules

Gain insight into a topic and learn the fundamentals.

11 reviews

8 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

11 reviews

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

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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 videosTotal 75 minutes

Introduction - Till Measure3 minutes
Introduction - Till Change Management3 minutes
Six Sigma Team Formation4 minutes
Introduction To Define4 minutes
VOC - Voice of Customer1 minute
QFD - Quality Functional Deployment5 minutes
Define Tools3 minutes
Project Charter3 minutes
Introduction to Lean & Theory of Constraints10 minutes
Introduction to Lean & Theory of Constraints Continues10 minutes
Value stream mapping11 minutes
7 Wastes6 minutes
5 S4 minutes
Poka Yoke1 minute
SMED4 minutes
Lean - Kanban2 minutes

4 assignmentsTotal 60 minutes

Graded-Foundations of Six Sigma and Lean Concepts30 minutes
Introduction and Six Sigma Basics10 minutes
Define Phase Tools and Customer Focus10 minutes
Lean Principles and Waste Reduction10 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 videosTotal 81 minutes

Introduction to Measure and Balance score6 minutes
Measure - MSA5 minutes
Data Collection Basics7 minutes
Sampling and Data Types8 minutes
Descriptive Statistics2 minutes
Process Capability Concepts9 minutes
Process Capability Indices4 minutes
Control Charts and Variability2 minutes
Understanding Normal Distribution4 minutes
Hypothesis Testing Foundations5 minutes
Advanced Hypothesis Testing12 minutes
Regression and Correlation Basics4 minutes
Advanced Regression Techniques7 minutes
Summary and Review6 minutes

4 assignmentsTotal 60 minutes

Graded-Measure Phase – Building the Analytical Foundation30 minutes
Introduction to Measure Phase10 minutes
Statistical Foundations and Process Capability10 minutes
Advanced Measurement and Review10 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.