Grow you career with
Project Based
Lean Six Sigma Green and Black Belt Certification
Live online sessions
16 days (40 hours) | Project Based | Minitab | industry 4.0




Rajagopal RG
Accredited Trainer, consultant
+91 9417897746
Master Black Belt since 2007. Trained over 10000 professionals globally. More than 27 years experience; Indian Air Force, United Nations. Consultant for Quality Council of india, National Productivity Council, MSME, EY, Intertek. Empanelled judge for Quality Circle competitions by CII…
Rajagopal RG
Accredited Trainer, consultant
+91 9417897746
Master Black Belt since 2007. Trained over 10000 professionals globally. More than 27 years experience; Indian Air Force, United Nations. Consultant for Quality Council of india, National Productivity Council, MSME, EY, Intertek. Empanelled judge for Quality Circle competitions by CII…
With the best practices of ISO 17024 guidelines for personal certification bodies
Real time project examples from manufacturing and service industries
Internationally acclaimed instructor led training and handholding
Interested participants receive two certificates (Green and Black Belt)
Covers complete Body of Knowlege by American Society of Quality
All statistical tools of BOK including ANOVA, hypothesis testing etc
Complete coverall of all non statisitcal and graphical tools
Pracrtice of six sigma tools in Minitab software
Lecture 1: Value foundation of six sigma1
Lecture 2: Value foundation of six sigma2
Lecture 3: Organization Drivers and Metrics
Lecture 4: Process Management for Projects
Lecture 5: Project Management Basics1
Lecture 6: Project Management Basics2
Lecture 7: Management and Planning Tools
Lecture 8: Team Stages and Dynamics1
Lecture 9: Process Inputs and Outputs
Lecture 10: Drawing Valid Statistical Conclusions
Lecture 11: Basic Probability Concepts
Lecture 12: Collecting Data
Lecture 13: Descriptive Statistics
Lecture 14: Graphical Methods (Stem Leaf/Run chart/Box plot)
Lecture 15: Discrete Probability Distributions
Lecture 16: Continuous Probability Distributions
Lecture 17: Process Capability Studies1
Lecture 18: Process Capability Studies1
Lecture 19: Process Capability Studies2
Lecture 20: Process Capability Studies3
Lecture 21: Process Capability for Attributes
Lecture 22: Process capability for Attributes2
Lecture 23: Exploratory Data Analysis
Lecture 24: Multivariate Tools
Lecture 25: Principal Components
Lecture 26: Factor Analysis
Lecture 27: Discriminate Analysis
Lecture 28: MANOVA
Lecture 29: Logistic Regression
Lecture 30: Hypothesis Testing 1
Lecture 31: Hypothesis Testing 2
Lecture 32: Stating Null and Alternate Hypothesis
Lecture 33: Selection of Appropriate Hypothesis Test
Lecture 34: Hypothesis Testing 3
Lecture 35: Non Parametricc Test1
Lecture 36: Non Parametricc Test2
Lecture 37: Introduction to DOE 1
Lecture 38: Introduction to DOE 2
Lecture 39: Main and Interaction Effects
Lecture 40: Fractional Factorial Designs
Lecture 41: Planning for DOE
Lecture 42: Analyzing DOE
Lecture 43: Statistical Process Control 1
Lecture 44: Statistical Process Control 2
Lecture 1: Value foundation of six sigma1
Lecture 2: Value foundation of six sigma2
Lecture 3: Organization Drivers and Metrics
Lecture 4: Process Management for Projects
Lecture 5: Project Management Basics1
Lecture 6: Project Management Basics2
Lecture 7: Management and Planning Tools
Lecture 8: Team Stages and Dynamics1
Lecture 9: Process Inputs and Outputs
Lecture 10: Drawing Valid Statistical Conclusions
Lecture 11: Basic Probability Concepts
Lecture 12: Collecting Data
Lecture 13: Descriptive Statistics
Lecture 14: Graphical Methods (Stem Leaf/Run chart/Box plot)
Lecture 15: Discrete Probability Distributions
Lecture 16: Continuous Probability Distributions
Lecture 17: Process Capability Studies1
Lecture 18: Process Capability Studies1
Lecture 19: Process Capability Studies2
Lecture 20: Process Capability Studies3
Lecture 21: Process Capability for Attributes
Lecture 22: Process capability for Attributes2
Lecture 23: Exploratory Data Analysis
Lecture 24: Multivariate Tools
Lecture 25: Principal Components
Lecture 26: Factor Analysis
Lecture 27: Discriminate Analysis
Lecture 28: MANOVA
Lecture 29: Logistic Regression
Lecture 30: Hypothesis Testing 1
Lecture 31: Hypothesis Testing 2
Lecture 32: Stating Null and Alternate Hypothesis
Lecture 33: Selection of Appropriate Hypothesis Test
Lecture 34: Hypothesis Testing 3
Lecture 35: Non Parametricc Test1
Lecture 36: Non Parametricc Test2
Lecture 37: Introduction to DOE 1
Lecture 38: Introduction to DOE 2
Lecture 39: Main and Interaction Effects
Lecture 40: Fractional Factorial Designs
Lecture 41: Planning for DOE
Lecture 42: Analyzing DOE
Lecture 43: Statistical Process Control 1
Lecture 44: Statistical Process Control 2