Lean Six Sigma Green Belt Training
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Lean Six Sigma Green Belt Training
This course is part of Lean Management and Six Sigma Green Belt Program Specialization
Instructor: Priyanka Mehta
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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
- Quality Management
- Lean Six Sigma
- Statistical Methods
- Process Analysis
- Six Sigma Methodology
- Process Improvement and Optimization
- Project Management
- Quality Monitoring
- Process Improvement
- Statistical Process Controls
- Process Capability
- Continuous Quality Improvement (CQI)
- Lean Methodologies
- Lean Manufacturing
- Process Flow Diagrams
- Statistical Analysis
- Process Mapping
- Quality Improvement
- Process Optimization
- Kaizen Methodology
Details to know
26 assignments
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- 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 phasesβlearn 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 videosβ’Total 157 minutes
- Introductionβ’1 minute
- Benchmarking: Types and Best Practicesβ’5 minutes
- Process elementsβ’2 minutes
- SIPOC Processβ’5 minutes
- Owners and stakeholdersβ’2 minutes
- Key Takeawaysβ’1 minute
- Introductionβ’1 minute
- Customer Identificationβ’3 minutes
- Tips for Effective VoC Questionsβ’4 minutes
- VoC and Data Collectionβ’5 minutes
- Proactive Data Sourcesβ’5 minutes
- Proactive Data Sources - Focus Groupβ’2 minutes
- Proactive Data Sources - Interviewβ’2 minutes
- VoC Proactive Data Collection Methodsβ’2 minutes
- Customer Requirementsβ’2 minutes
- Critical to Quality Factorβ’4 minutes
- CTQ Exampleβ’3 minutes
- Quality Function Deploymentβ’4 minutes
- Sections of House of Quality (HOQ)β’5 minutes
- Post HOQ Matrixβ’1 minute
- Key Takeawaysβ’1 minute
- Introductionβ’1 minute
- The Project Charterβ’3 minutes
- Problem Statement and Project Objectivesβ’3 minutes
- Project Scope and Its Interpretationβ’4 minutes
- Project Scope and Its Interpretation: SIPOC and Process Mapsβ’2 minutes
- Project Metrics and Its Typesβ’4 minutes
- Project Planning and Documentationβ’3 minutes
- Project Planβ’5 minutes
- Project Plan Scheduleβ’3 minutes
- Project Plan Risksβ’3 minutes
- Benefits of Risk Analysis and Project Closureβ’2 minutes
- Key Takeawaysβ’1 minute
- Introductionβ’1 minute
- Affinity Diagram and Interrelationship Diagramβ’4 minutes
- Tree Diagram and Matrix Diagramβ’4 minutes
- Prioritization Matrices, Activity Network Diagrams and Process Decision Program Chartβ’3 minutes
- Key Takeawaysβ’1 minute
- Introductionβ’1 minute
- Process Performanceβ’1 minute
- Defects per Unit (DPU)β’2 minutes
- Throughput Yield (TPY) and Rolled Throughput Yield (RTY)β’4 minutes
- Defects per Million Opportunities (DPMO) and Sigma Levelβ’3 minutes
- Cost of Quality (COQ) and Process Capabilityβ’5 minutes
- Key Takeawaysβ’1 minute
- Introductionβ’1 minute
- Team Dynamicsβ’3 minutes
- Negative Team Dynamicsβ’1 minute
- Team Stagesβ’4 minutes
- Types of Challengesβ’3 minutes
- Team Roles and Responsibilitiesβ’2 minutes
- Team Communicationβ’3 minutes
- Team Toolsβ’5 minutes
- Key Takeawaysβ’1 minute
- Case Studyβ’13 minutes
1 readingβ’Total 10 minutes
- Course Syllabusβ’10 minutes
7 assignmentsβ’Total 130 minutes
- Assessment for Define Phaseβ’40 minutes
- Quiz on Project Identificationβ’15 minutes
- Quiz on Voice of Customerβ’15 minutes
- Quiz on Project Management Basicsβ’15 minutes
- Quiz on Management and Planning Toolsβ’15 minutes
- Quiz on Business Results for Projectsβ’15 minutes
- Quiz on Team Dynamics and Performanceβ’15 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 videosβ’Total 186 minutes
- Introductionβ’1 minute
- Process Mapsβ’6 minutes
- Flowchartsβ’4 minutes
- Process Documentationβ’5 minutes
- Key Takeawaysβ’1 minute
- Introductionβ’1 minute
- Roles of Probability and Statisticsβ’6 minutes
- Addition Rules and Multiplication Rulesβ’7 minutes
- Permutation and Combinationβ’4 minutes
- Key Takeawaysβ’1 minute
- Introductionβ’1 minute
- Data, Its types, and Selectionβ’3 minutes
- Measurement Scales, Collection Methods, and Samplingβ’7 minutes
- Data Collection Plan and Data Codingβ’4 minutes
- Measures of Central Tendency and Dispersionβ’8 minutes
- Microsoft Excel for Descriptive Statisticsβ’2 minutes
- Frequency Distributionβ’7 minutes
- Stem and Leaf Plots and Box and Whisker Plotsβ’5 minutes
- Scatter Diagramsβ’3 minutes
- Other Visualization Tools and Normal Probability Plotsβ’3 minutes
- Key Takeawaysβ’1 minute
- Introductionβ’1 minute
- Classes of Distribution and Key Termsβ’2 minutes
- Types of Statistical Distributionβ’2 minutes
- Binomial and Poisson Distributionβ’8 minutes
- Normal Distributionβ’10 minutes
- Chi-square, T, and F-Distributionβ’4 minutes
- Central Limit Theorem(CLT)β’6 minutes
- Key Takeawaysβ’1 minute
- Introductionβ’2 minutes
- Measurement System Analysis and Its Propertiesβ’5 minutes
- Measurement System Characteristicsβ’6 minutes
- Measurement System Conceptsβ’3 minutes
- Gage R&R Studyβ’9 minutes
- Attribute Gage R&Rβ’6 minutes
- Key Takeawaysβ’1 minute
- Introductionβ’1 minute
- Process Stability and Normalityβ’9 minutes
- Process Capability Analysis and Studiesβ’5 minutes
- Process Capability Index and Exampleβ’8 minutes
- Process Performance Indicesβ’2 minutes
- Process Mean Shift and Variationβ’8 minutes
- Process Capability for Attribute Dataβ’3 minutes
- Key Takeawaysβ’1 minute
- Case Studyβ’4 minutes
7 assignmentsβ’Total 130 minutes
- Assessment for Measure Phaseβ’40 minutes
- Quiz on Process Analysis and Documentationβ’15 minutes
- Quiz on Probability and Statisticsβ’15 minutes
- Quiz on Collecting and Summarizing Dataβ’15 minutes
- Quiz on Statistical Distributionβ’15 minutes
- Quiz on Measurement System Analysisβ’15 minutes
- Quiz on Process and Performance Capabilityβ’15 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 videosβ’Total 103 minutes
- Introductionβ’1 minute
- Hypothesis Testing Basicsβ’5 minutes
- Type 1 and Type 2 Errorsβ’6 minutes
- Sample Sizeβ’6 minutes
- P-value and Test Statisticsβ’5 minutes
- Tests for Means, Variance, and Proportionsβ’2 minutes
- 1-Sample Testβ’10 minutes
- 2-Sample Testβ’6 minutes
- T-Testβ’3 minutes
- ANOVA and Chi-Square Distributionβ’7 minutes
- Hypothesis Testing with Nonnormal Dataβ’9 minutes
- Key Takeawaysβ’1 minute
- Introductionβ’1 minute
- Multi-Vari Analysisβ’7 minutes
- Correlationβ’6 minutes
- Regression Analysisβ’8 minutes
- Residual Analysis and Linear Regressionβ’5 minutes
- Multiple Regressionβ’8 minutes
- Key Takeawaysβ’1 minute
- Case Studyβ’4 minutes
3 assignmentsβ’Total 70 minutes
- Assessment for Analyze Phaseβ’40 minutes
- Quiz on Hypothesis Testingβ’15 minutes
- Quiz on Exploratory Data Analysisβ’15 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 videosβ’Total 66 minutes
- Introductionβ’1 minute
- DOE Regression and Basic Termsβ’6 minutes
- DOE Errorβ’8 minutes
- Key Takeawaysβ’1 minute
- Introductionβ’2 minutes
- Root Cause Analysis (RCA)β’10 minutes
- Key Takeawaysβ’1 minute
- Introductionβ’1 minute
- Lean Tools and Techniquesβ’14 minutes
- Cycle Time Reduction, Kaizen, and Kaizen Blitzβ’5 minutes
- Key Takeawaysβ’1 minute
- Introductionβ’1 minute
- Pugh Analysis and Solution Prioritization Matrixβ’5 minutes
- SCAMPER Toolβ’3 minutes
- Brainstorming, Cost Benefit Analysis, Solution Screening, and Pilotingβ’4 minutes
- Key Takeawaysβ’1 minute
- Case Studyβ’4 minutes
5 assignmentsβ’Total 100 minutes
- Assessment for Improve Phaseβ’40 minutes
- Quiz on Design of Experimentsβ’15 minutes
- Quiz on Root Cause Analysisβ’15 minutes
- Quiz on Lean Toolsβ’15 minutes
- Quiz of Selecting a Solutionβ’15 minutes
Learn to sustain Six Sigma improvements in the Control Phase by applying Statistical Process Control (SPC) and control plans. Understand control charts like XΜ, 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.
What's included
22 videos4 assignments
22 videosβ’Total 91 minutes
- Introductionβ’1 minute
- SPC Basicsβ’8 minutes
- Control Charts and Analysisβ’7 minutes
- Choosing an Appropriate Control Chartβ’5 minutes
- Xbar Chart and Principlesβ’5 minutes
- I-MR Chart and Principlesβ’3 minutes
- Control Charts for Attribute Dataβ’2 minutes
- np-Chart and P-Chart β’5 minutes
- c-Chart and u-Chartβ’4 minutes
- CUSUM and EWMA Chartsβ’5 minutes
- Key Takeawaysβ’2 minutes
- Introductionβ’1 minute
- Control Plan and Response Planβ’5 minutes
- Cost Benefit Analysis, KPIV, and KPOVβ’7 minutes
- Control Level and Transactional Control Planβ’9 minutes
- Key Takeawaysβ’1 minute
- Introductionβ’1 minute
- Total Productive Maintenanceβ’6 minutes
- Visual Factoryβ’4 minutes
- 5Sβ’7 minutes
- Key Takeawaysβ’1 minute
- Case Studyβ’3 minutes
4 assignmentsβ’Total 85 minutes
- Assessment for Control Phaseβ’40 minutes
- Quiz on Statistical Process Control (SPC)β’15 minutes
- Quiz on Control Planβ’15 minutes
- Quiz on Lean Tools for Process Controlβ’15 minutes
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Frequently asked questions
Lean Six Sigma Green Belt training equips professionals with the skills to lead moderate-level process improvement projects. It focuses on applying the DMAIC methodology, data analysis, and Lean tools to reduce defects and improve efficiency.
The duration typically ranges from 2 to 6 weeks, depending on the training format (self-paced, live online, or in-person). Some programs also include project work and assessments for certification.
Yes, itβs highly valuable for professionals looking to advance in operations, quality management, or project leadership. It enhances problem-solving skills and boosts career opportunities across industries.
More questions
Financial aid available,
