Lean Six Sigma Green Belt Training

Lean Six Sigma Green Belt Training

This course is part of Lean Management and Six Sigma Green Belt Program Specialization

Instructor: Priyanka Mehta

Access provided by Lok Jagruti University

1,653 already enrolled

5 modules

Gain insight into a topic and learn the fundamentals.

12 reviews

Beginner level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

5 modules

Gain insight into a topic and learn the fundamentals.

12 reviews

Beginner level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Lead end-to-end Six Sigma projects using the DMAIC framework.
Analyze and improve processes with statistical and Lean tools.
Apply DOE, SCAMPER, and prioritization techniques to optimize solutions.
Sustain improvements using SPC, 5S, and structured control plans.

Skills you'll gain

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Assessments

26 assignments

Taught in English

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This course is part of the Lean Management and Six Sigma Green Belt Program 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 5 modules in this course

This comprehensive Six Sigma DMAIC course equips you with the skills to drive data-backed process improvements and sustain quality excellence. Begin by mastering the Define and Measure phases—learn to build project charters, capture customer requirements (VoC), and analyze processes through mapping and capability studies. Progress to the Analyze phase with tools like hypothesis testing, regression, and exploratory data analysis to uncover root causes. In the Improve phase, implement solutions using Design of Experiments (DOE), Lean techniques, and decision tools like SCAMPER and Pugh Matrix. Conclude with the Control phase, applying SPC, control plans, and Lean methods like 5S and TPM for long-term impact.

You should have a background in operations, project management, or quality control, along with a basic understanding of business processes and statistical concepts. By the end of this course, you will be able to: - Apply DMAIC: Lead Six Sigma projects from problem identification to solution control - Use Statistical Tools: Conduct root cause analysis with testing, regression, and capability studies - Optimize Processes: Apply DOE, Lean tools, and solution selection methods for effective improvements - Sustain Improvements: Use SPC, 5S, and control plans to maintain long-term results Ideal for quality professionals, process owners, and team leads.

Master the Define Phase of Six Sigma with a focus on project identification, voice of the customer (VoC), and team dynamics. Learn to build project charters, define CTQs, apply SIPOC and HOQ models, and use planning tools like affinity diagrams and matrix charts. Understand process metrics, risk analysis, and team roles to launch high-impact, customer-focused improvement projects.

What's included

55 videos1 reading7 assignments

55 videos Total 157 minutes

Introduction 1 minute
Benchmarking: Types and Best Practices 5 minutes
Process elements 2 minutes
SIPOC Process 5 minutes
Owners and stakeholders 2 minutes
Key Takeaways 1 minute
Introduction 1 minute
Customer Identification 3 minutes
Tips for Effective VoC Questions 4 minutes
VoC and Data Collection 5 minutes
Proactive Data Sources 5 minutes
Proactive Data Sources - Focus Group 2 minutes
Proactive Data Sources - Interview 2 minutes
VoC Proactive Data Collection Methods 2 minutes
Customer Requirements 2 minutes
Critical to Quality Factor 4 minutes
CTQ Example 3 minutes
Quality Function Deployment 4 minutes
Sections of House of Quality (HOQ) 5 minutes
Post HOQ Matrix 1 minute
Key Takeaways 1 minute
Introduction 1 minute
The Project Charter 3 minutes
Problem Statement and Project Objectives 3 minutes
Project Scope and Its Interpretation 4 minutes
Project Scope and Its Interpretation: SIPOC and Process Maps 2 minutes
Project Metrics and Its Types 4 minutes
Project Planning and Documentation 3 minutes
Project Plan 5 minutes
Project Plan Schedule 3 minutes
Project Plan Risks 3 minutes
Benefits of Risk Analysis and Project Closure 2 minutes
Key Takeaways 1 minute
Introduction 1 minute
Affinity Diagram and Interrelationship Diagram 4 minutes
Tree Diagram and Matrix Diagram 4 minutes
Prioritization Matrices, Activity Network Diagrams and Process Decision Program Chart 3 minutes
Key Takeaways 1 minute
Introduction 1 minute
Process Performance 1 minute
Defects per Unit (DPU) 2 minutes
Throughput Yield (TPY) and Rolled Throughput Yield (RTY) 4 minutes
Defects per Million Opportunities (DPMO) and Sigma Level 3 minutes
Cost of Quality (COQ) and Process Capability 5 minutes
Key Takeaways 1 minute
Introduction 1 minute
Team Dynamics 3 minutes
Negative Team Dynamics 1 minute
Team Stages 4 minutes
Types of Challenges 3 minutes
Team Roles and Responsibilities 2 minutes
Team Communication 3 minutes
Team Tools 5 minutes
Key Takeaways 1 minute
Case Study 13 minutes

1 reading Total 10 minutes

Course Syllabus 10 minutes

7 assignments Total 130 minutes

Quiz on Project Identification 15 minutes
Quiz on Voice of Customer 15 minutes
Quiz on Project Management Basics 15 minutes
Quiz on Management and Planning Tools 15 minutes
Quiz on Business Results for Projects 15 minutes
Quiz on Team Dynamics and Performance 15 minutes
Assessment for Define Phase 40 minutes

Gain in-depth skills in the Measure Phase of Six Sigma by mastering process analysis, statistical tools, and data collection methods. Learn to map processes, apply probability and statistical concepts, and summarize data using Excel. Explore measurement system analysis, Gage R&R, and process capability studies to assess performance and ensure data-driven decision-making.

What's included

45 videos7 assignments

45 videos Total 186 minutes

Introduction 1 minute
Process Maps 6 minutes
Flowcharts 4 minutes
Process Documentation 5 minutes
Key Takeaways 1 minute
Introduction 1 minute
Roles of Probability and Statistics 6 minutes
Addition Rules and Multiplication Rules 7 minutes
Permutation and Combination 4 minutes
Key Takeaways 1 minute
Introduction 1 minute
Data, Its types, and Selection 3 minutes
Measurement Scales, Collection Methods, and Sampling 7 minutes
Data Collection Plan and Data Coding 4 minutes
Measures of Central Tendency and Dispersion 8 minutes
Microsoft Excel for Descriptive Statistics 2 minutes
Frequency Distribution 7 minutes
Stem and Leaf Plots and Box and Whisker Plots 5 minutes
Scatter Diagrams 3 minutes
Other Visualization Tools and Normal Probability Plots 3 minutes
Key Takeaways 1 minute
Introduction 1 minute
Classes of Distribution and Key Terms 2 minutes
Types of Statistical Distribution 2 minutes
Binomial and Poisson Distribution 8 minutes
Normal Distribution 10 minutes
Chi-square, T, and F-Distribution 4 minutes
Central Limit Theorem(CLT) 6 minutes
Key Takeaways 1 minute
Introduction 2 minutes
Measurement System Analysis and Its Properties 5 minutes
Measurement System Characteristics 6 minutes
Measurement System Concepts 3 minutes
Gage R&R Study 9 minutes
Attribute Gage R&R 6 minutes
Key Takeaways 1 minute
Introduction 1 minute
Process Stability and Normality 9 minutes
Process Capability Analysis and Studies 5 minutes
Process Capability Index and Example 8 minutes
Process Performance Indices 2 minutes
Process Mean Shift and Variation 8 minutes
Process Capability for Attribute Data 3 minutes
Key Takeaways 1 minute
Case Study 4 minutes

7 assignments Total 130 minutes

Quiz on Process Analysis and Documentation 15 minutes
Quiz on Probability and Statistics 15 minutes
Quiz on Collecting and Summarizing Data 15 minutes
Quiz on Statistical Distribution 15 minutes
Quiz on Measurement System Analysis 15 minutes
Quiz on Process and Performance Capability 15 minutes
Assessment for Measure Phase 40 minutes

Master the Analyze Phase of Six Sigma by learning how to identify root causes using data-driven techniques. Gain expertise in hypothesis testing, ANOVA, and T-tests to validate assumptions. Explore correlation, regression, and residual analysis for deeper insights. Learn to apply statistical methods and exploratory data analysis to drive meaningful process improvements.

What's included

20 videos3 assignments

20 videos Total 103 minutes

Introduction 1 minute
Hypothesis Testing Basics 5 minutes
Type 1 and Type 2 Errors 6 minutes
Sample Size 6 minutes
P-value and Test Statistics 5 minutes
Tests for Means, Variance, and Proportions 2 minutes
1-Sample Test 10 minutes
2-Sample Test 6 minutes
T-Test 3 minutes
ANOVA and Chi-Square Distribution 7 minutes
Hypothesis Testing with Nonnormal Data 9 minutes
Key Takeaways 1 minute
Introduction 1 minute
Multi-Vari Analysis 7 minutes
Correlation 6 minutes
Regression Analysis 8 minutes
Residual Analysis and Linear Regression 5 minutes
Multiple Regression 8 minutes
Key Takeaways 1 minute
Case Study 4 minutes

3 assignments Total 70 minutes

Quiz on Hypothesis Testing 15 minutes
Quiz on Exploratory Data Analysis 15 minutes
Assessment for Analyze Phase 40 minutes

Advance through the Improve Phase of Six Sigma by learning how to implement effective solutions using root cause analysis and Lean tools. Explore Design of Experiments (DOE) for process optimization, apply Kaizen for cycle time reduction, and evaluate ideas with tools like Pugh Matrix and SCAMPER. Use cost-benefit analysis and piloting to select and implement impactful improvements.

What's included

17 videos5 assignments

17 videos Total 66 minutes

Introduction 1 minute
DOE Regression and Basic Terms 6 minutes
DOE Error 8 minutes
Key Takeaways 1 minute
Introduction 2 minutes
Root Cause Analysis (RCA) 10 minutes
Key Takeaways 1 minute
Introduction 1 minute
Lean Tools and Techniques 14 minutes
Cycle Time Reduction, Kaizen, and Kaizen Blitz 5 minutes
Key Takeaways 1 minute
Introduction 1 minute
Pugh Analysis and Solution Prioritization Matrix 5 minutes
SCAMPER Tool 3 minutes
Brainstorming, Cost Benefit Analysis, Solution Screening, and Piloting 4 minutes
Key Takeaways 1 minute
Case Study 4 minutes

5 assignments Total 100 minutes

Quiz on Design of Experiments 15 minutes
Quiz on Root Cause Analysis 15 minutes
Quiz on Lean Tools 15 minutes
Quiz of Selecting a Solution 15 minutes
Assessment for Improve Phase 40 minutes

Learn to sustain Six Sigma improvements in the Control Phase by applying Statistical Process Control (SPC) and control plans. Understand control charts like X̄, I-MR, p-chart, and c-chart, and use CUSUM and EWMA for advanced monitoring. Develop effective control plans, use Lean tools like 5S, TPM, and visual factory to maintain process stability and ensure long-term quality performance.