Lean Six Sigma Green Belt (LSSGB)

Lean Six Sigma Green Belt (LSSGB)

CSSC, IQF & IAO accredited globally recognized certification course on Lean Six Sigma Green Belt (LSSGB)

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Language: English

Instructors: Aryan Viswakarma

Validity Period: 1095 days

$800 50% OFF


Why this course?


Course: Lean Six Sigma Green Belt

Course Duration: 41 hrs

Course Objectives

To provide students with the adequate knowledge required to understand and practice Lean Six Sigma Methodology used in industry.

Quality HUB India brings you the Lean Six Sigma Green Belt E-Learning training course that will help you aim for a first-time pass of the Six Sigma Green belt exam and gain the expertise to be a success at the workplace.

As a Lean Six Sigma Green Belt professional you will be responsible for leading or supporting improvement initiatives within the organization. You will do this by applying a data-driven approach to eliminate defects and improve processes in the organization. The Six Sigma Green Belt certification helps create a mindset and culture shift that eliminates wastage of time and resources and replaces the methods used in traditional contexts with a set of tools that produce near-perfect results. Our comprehensive training will help you gain a thorough understanding of the methods that will help analyze and solve quality problems and create a high-performance organization with a focus on continual improvement. Enroll today and gain the certificate that will reflect your understanding of Lean Six Sigma and its focus on eliminating defects through process improvement and variation reduction.


It is recommended that all students have the following prior knowledge:

  1. Basic understanding of the concept of product and process
  2. Basic understanding of the concept of quality management
  3. Basic understanding of statistics and problem-solving tools
  4. At least 3 years of industry experience

Who Should Attend?

This course is ideal for those who are responsible for product development, operations management, quality control, and engineering including department managers, supervisors, quality representatives, engineers, and administrative staff who have a focus on business improvement, performance, and profitability.

Certification Exam

  • Each certification candidate is required to pass a written examination that consists of 100 multiple-choice questions measuring comprehension of the Body of Knowledge.
  • The exam will be conducted online.
  • It is only offered in English.
  • Learners need to appear for the final test within 12 months of purchasing the course. Course access will remain till the access period as per the applicability.
  • *Taking an exam after one year will incur a fee*
  • After the certificate is issued, you must wait 30 days to get a hard copy of the Certificate.
  • Learners can clear their doubts arising during the study within 06 months from the date of purchasing the course.
  • For Sample Certificate Click Here

Pass Criteria:  > 60% marks

For candidates clearing the exam successfully certificate shall be issued by Quality HUB India, which is a registered organization with MSME GOI for training and certification courses.

Note: One additional opportunity will be given to unsuccessful candidates free of charge.

  • The Course is  Certified / Accredited by "The Council for Six Sigma Certification" (CSSC), "International Quality Federation" (IQF), and "International Accredited Organisation" (IAO), and the certificate will bear the logo as well.

A QHI Certified Green Belt is issued a Certificate (Hard &/or soft) which includes a Certification Number and granted the right to use Titles; a professional designation which may be used in resumes and public profiles such as LinkedIn.

The authenticity of the certificate can be verified (VERIFY CERTIFICATE) at the course portal

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  • Hacking or causing harm to the videos in any way is a PUNISHABLE offense. You may only watch the videos for as long as they are still valid.
  • All of the videos are COPYRIGHTED.
  • Do not attempt to record the lectures in any other way. If you are caught unlawfully SELLING the lectures in full or in part, you will be forced to pay a large sum of money as compensation and face a slew of other legal consequences.

PS: Please contact us at +91-8094078781 or drop a mail at info@qualityhubindia.com /qhi2017@gmail.com if you notice any unlawful activity taking place in the name of Quality Hub India.

Format, Pdf, E-books, Templates availability

All supporting format, Pdf, E-books, Templates as per the course requirement and within the scope, has been uploaded in the portal in the course section and downloadable.

No additional documents, formats, templates, etc shall be provided by QHI.

Policy on Cancellation and Refunds

  • The course to which you have subscribed cannot be replaced with another course.
  • It is not possible to cancel a course once it has been purchased.
  • There are no refunds for fees.
  • Courses are not transferrable.
  • Course Extension is possible. (How to seek a course extension, details are listed below)

For Technical Support

Contact us at +91-8094078781 / 8824314500 or drop a mail at info@qualityhubindia.com /qhi2017@gmail.com

*Prices may change at any time without prior notice.


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  • STEP 2 - Pay and Share screenshot on Mail: qhi2017@gmail.com


You can also pay by scanning a QR code. Kindly share screenshot on mail at qhi2017@gmail.com with full details after payment (Name, Email id, Contact No. and Course Name)


Course Curriculum

Welcome and Study Instruction
Intro to Quality HUB India
Course Instructions & Study Guidelines(English)
Mr. Aryan Viswakarma (Founder CEO QHI & NAPL) Introduction (English)
QHI Awards and Recognitions (English)
Introduction to Six Sigma
(P1)LSSGB Introduction - DMAIC Steps
(P2) GB Intro What is Six Sigma
(P3) GB Intro - Why 99% is not Good enough?
(P4) GB-6 Sigma Synergy
(P5) GB-COPQ (Cost of Poor Quality) and 6 Sigma relation
(P6) Six Sigma Benefits
(P7) DMAIC Process
(P8) GB-DMAIC Cycle
DPU, PPM, DPMO with case study (English)
DMAIC VS DMADV VS DFSS (Understand the difference)
Difference between Lean Vs Six Sigma Methodology (English)
Define Phase
Define(P1)-Introduction of Lean Six Sigma Green Belt (LSSGB)
P2-Define-What is scoping and Why project scoping
(P3) Define-Scoping Technique - Longitudinal Scoping and Lateral Scoping
GB- Define - Project Teams, Teaming Roles and Why Teaming?
(P5) GB Define Project Benefit & Loss-Opportunity Grid
5W and 1H Technique -Define Problem Perfectly (English)
First Pass Yield (FPY) VS Rolled Throughput Yield (English)
TAKT Time VS Cycle Time VS Lead Time VS Throughput Time – Difference explained with example (English)
Project Charter
Project Charter Case Study(P1)
Charter case Study(P2)
Measure Phase
(P1.1) GB Measure Introduction, Why do we need a Process Map?
(P1.2) GB Measure (step 2.1) Map the as is Process - What is Process? and SIPOC
(P2)GB- Measure (Step 2-2.2)- Define a Unit- What is a Unit? and define with examples
(P3.1) GB Measure-What is Specification
(P3.2) GB Measure-Types of Data (step 2-2.4) Understand the data characteristics- Types of Data and Continuous data characteristics
(P3.3) GB Measure-Dispersion and Central Tendency- Measuring the of location , Spread and Shape
(P4.1) GB Measure- Opportunities for Error (OFE)
(P4.2) GB Measure- (Step 2-2.6) Design Sampling Plan for Establishing Process Baseline, Population and Sample
(P4.3) GB Measure-Types of Sampling- Random Sampling and How big a sample?
(P5.1) GB Measure- (Step 3-3.1) Validate Measurement System for 'Y' - Introduction of Measure, Perform GRR Study and types of measurement errors
(P5.2) GB Measure-Accuracy and Precision
(P5.3) GB Measure- R and R- Gage Reproducibility and Gage Repeatability
(P5.4) GB Measure-Data Collection, Analyze Results - Continuous Data
(P5.5)GB Measure-Toll Gate Criteria
Benchmarking Process
Benchmarking(P1)-What is Benchmarking
Benchmarking(P4)-Process and Steps
Cost of Quality(COQ), Its Categories and benefits (English)
Measurement system analysis {MSA}
Introduction to Measurement System Analysis(MSA)- English
Understand Measurement as a Process (English)
Sources of Variation - English
Fundamental Properties of Measurement System (English)
Accuracy and Precision - English
Location and Spread error - English
Sources of Variation - English
Bias, Linearity and Stability (English)
Possible Causes for Bias, Linearity - English
Repeatability and Reproducibility - English
Measurement Capability Index - English
How to Conduct Variable Gauge R and R (English)
Acceptance Criteria (variable Gauge MSA) - (English)
Variable Gauge R and R Study in Excel (Case Study)
Attribute Agreement Analysis and Acceptance Criteria (English)
MSA Minitab case study
Attribute Agreement Analysis (Minitab Exercise) - English
Variable Crossed Gauge RR(Minitab Case Study) - English
Basic Statistics
Introduction to Basic Statistics- What is statistics? and Definition of Statistics (English)
Sample VS Population statistics(English)
Basic Statistics- Why do we use Statistics?, What is Sample , Population and Sample
Types of data-Variable vs Attribute data and Variable process outputs
Analyze Phase
(P1) GB Analyse (Step 4) Establish Process Baseline - Six sigma metrics
(P2.1) GB Analyse-(Step 5-5.1) Define Performance Goals, Perform Entitlement and Benchmarking Exercise
(P2.2) GB Analyse- Concept of Z value
(P3.1) GB Analyse Process Entitlement
(P3.2) GB Analyse- Process Capability Study and Limitations of Process Capability
(P4) GB Analyse- Analyzing Continuous Data- Histogram
(P5.1) GB Analyse- Stratification, Using Minitab for Stratifying Data and 5 minutes exercise
(P5.2) GB Analyse- Sigma Multiple Case Study
(P6.1) GB Analyse- Benchmarking and Steps
(P6.2) GB Analyse- t distribution- Introduction and Using the t-distribution Table
(P6.3) GB Analyse- Estimate Population Parameter from Sample Statistic, Point estimate and Interval estimates using t-distribution
(P7.1) GB Analyse-Hypothesis Testing- Null Hypothesis and Alternative Hypothesis
(P7.2) GB Analyse- Type1 and 2 Error
(P7.3) GB Analyse- Forming Hypothesis- Two-tailed and one-tailed Tests of Hypothesis and Acceptance/Rejection criteria for hypothesis
(P8.1)GB Analyse-Identify variation source, Generating and Priortizing X's
(P8.2) GB Analyse-Brainstorming and Multivoting
(P9.1) GB Analyse-Process MApping
(P9.2)GB Analyse-Explain Fishbone with example
(P10.1) GB Analyse-Prioritisation Tool, Pareto Diagram
(P10.2) GB Analyse-Corelation - Association between Variables and Correlation levels
(P10.3) GB Analyse-Linear Regression and (SLR) Simple Linear Regression
(P11.1) GB Analyse- Multiple Linear Regression (MLR)
(P11.2) GB Analyse- ANOVA
(P12)GB Analysis-Failure Mode and Effect Analysis (FMEA)- Concept and Output, FMEA Table and Scales of 'SOD'
Basic Problem Solving Tools
Fishbone Diagram or Cause-Effect Diagram - (ENGLISH)
Fishbone Diagram 'Case Study'- (ENGLISH)
Pareto Chart or Pareto Diagram- A Prioritization Tool - ENGLISH
Pareto Chart (Case Study) - (ENGLISH)
Flow Chart Method - English
Histogram -Data Distribution Tool - (ENGLISH)
Check Sheet (with case study)-(ENGLISH)
Scatter Plot or Scatter Diagram -(ENGLISH)
Control Chart and its types -(ENGLISH)
Support Problem Solving Tools
Box and Whisker Plot (English)
RACI Matrix Chart- Introduction, Key Responsibility Roles (RACI Model), PARIS, PACSI,RASCI, DACI and CAIRO
What is Threat and Opportunity Matrix?,Why Opportunity and Threat Matrix and Case Study (English)
Critical To Quality Tree (CTQ Tree) , Case Study- Meal Performance and Customer Requirement
SIPOC Diagram - Introduction , How can SIPOC be used?, How SIPOC works and SIPOC Diagram Type 2
Types of Six Sigma Certifications and their Roles - Different Levels of sigma and Roles (English)
How to Select Proper Graph for analysis (English)
Sampling and types of sampling (English)
Overview for Multi-Vari Chart(Minitab), Multivari Analysis and Case Study of Multi Vari Chart (English)
Cause and Effect Matrix - Prioritization Tool
Cause and Effect Matrix (English)
Cause and Effect (Case Study) English
Analysis of Variance (ANOVA)
(P1.1) Intro to ANOVA (Analysis of Variance) -English
(P1.2) ANOVA-Additivity and Total Variance- Data Dimension and Total Variance Calculation (English)
(P2.1)ANOVA(One Way ANOVA Step 1 and 2)- Components of Variation and Calculation of the sum of squares (English)
(P2.2)ANOVA (Degree of Freedom) -English
(P2.3) ANOVA- Calculation of Mean Square, Calculation of the F- Ratio and Testing for significance (English)
(P2.4) ANOVA in Minitab- 95% Confidence Intervals (English)
(P2.5) ANOVA Summary and Crossed VS Nested Design (English)
Minitab Exercise (ANOVA)
ANOVA (Minitab Case Study)- Molding Process (English)
Regression Analysis
(P1.1) Intro to Regression and Scatter Plot (English)
(P1.2) Regression-Correlation Analysis (English)
(P2.1) Regression- Introduction to Linear Regression (English)
(P2.2) Scatter Diagram, Regression (Minitab Example)- (English)
(P3.1) ANOVA for Linear Regression and Normality of Residuals (English)
(P3.2) Regression- Interpolation and Extrapolation summary (English)
Minitab Exercise
Scatter, Correlation and Regression (Minitab Exercises) English
Hypothesis Test
(P1.1) Hypothesis Testing- Objectives and Tools for validating the causes
(P1.2) Hypothesis test (Null, Alternative and Determine)- Types of Comparison and Steps in Hypothesis Testing
(P2.1) Hypothesis Testing-State level of Risk and P value
(P2.2) Hypothesis Test-Risk Form
(P2.3)Hypothesis Test-Establish Sample Size, Collect data, Analyse Data and Acceptance or Rejection
(P2.4)Hypothesis Test- Important vs Significant Differences
(P3.1)Hypo.Test- 1 sample and 2 sample T test
(P3.2) Hypothesis test- Analysis of Variance (ANOVA)
(P3.3) Hypo. test- Chi Square Test
Minitab exercise
1 sample t-test (Minitab Exercise) - English
2 sample t-test(Minitab) - English
Design of Experiments (DOE)
(P1)Design of Experiments (DOE)-Introduction, Benefits, and How DOE works? (English)
(P2.1)DOE- How DOE works -Example (English)
(P2.2)DOE Key Terms (English)
(P2.3) DOE Coffee making Example (English)
(P3.1) DOE-Steps, One Factor at a Time (OFAT), Trial and Error, Fractional Factorial (English)
(P3.2)DOE- Mould Experiment Design and Main Effect Plot (English)
(P4) DOE-Mould Experiment(Interaction Effects)(English)
(P5.1)DOE-Mould Experiment (Interaction Effect summary) (English)
(P5.2)DOE-Creating design in Minitab(Mould Experiment)-(English)
(P6) DOE-Minitab Data Analysis(Mould Experiment) (English)
(P7)DOE-Minitab Main effect and Interaction(Mould Experiment) (English)
Minitab Exercise
DOE(Minitab Exercise)- Molding Experiment (English)
Improve Phase
(P1) GB Improve-Intro to Improve & DOE- Explore Potential Causes
(P2.1)GB Improve-DOE Nomenclature
(P2.2)GB Improve-Factorial Design, Types of Experiment Designs(Factorial Designs, Various factor and Level Designs)
(P3.1)GB Improve-DOE setting- Two Level and Three Factor Design
(P3.2)GB Improve-Optimising y and X- Design, Define and Determining Operating Limits
(P4.1)GB Improve- Counter-Measure Matrix
(P4.2)GB Improve- Should be Process Map, Resistance Analysis
Control Phase
(P1.1)GB Control-Intro and Controlling the X
(P1.2)GB Control- Correction Loop
(P1.3) GB Control-Mistake Proofing (Poka-Yoke), Mistake Proofing Techniques and Advantages of Mistake - Proofing
(P2.1)GB Control-Selecting Control Chart and Action Plan for Out of Control of X's
(P2.2)GB Control- Problem Solving Flow, Project closure and Tollgate Control
Process capability study
(P1) Intro to Process Capability Study (English)
(P2) What is Capability? (English)
(P3) VOC and VOP (English)
(P4) Quality Improvement Model (English)
(P5)Capability Indices, Cp and Cpk (English)
(P6) Graphical Representation of Cp and Cpk (English)
(P7) Process Capability Index Cpk (English)
(P8) Capability for One Spec Limit (English)
(P9) Long Term Capability Study (Pp and Ppk)- (English)
(P10) Acceptance Criteria -Capability Study (English)
Machine Capability Study| Process Capability VS Machine Capability (English)
Attribute control chart
Introduction to Attribute Control Charts (English)
Introduction to 'p' Chart (English)
'p'-Chart (Minitab Case Study) - English
Introduction to 'np' Chart (English)
'np'-Chart (Minitab Case Study)- English
Introduction to 'u' Chart (English)
'u'-Chart (Minitab Case Study)- English
Introduction to 'c' Chart (English)
'c'-Chart (Minitab Case Study)- English
Where to use which attribute Charts? (English)
Formula for Discrete Control Charts (English)
Lean Tools
What is Kaizen? What is MUDA and Types of MUDA (English)
7 Types of MUDA or Waste (English)
MUDA Types (4-7) English
Single Minute Exchange of Dies (SMED)
(P1) SMED- Intro, Benefits and Types of Waste (English)
(P2) SMED- Action to reduce setup time (English)
(P3)SMED -04 Stages of Improvement (English)
(P4)SMED-Improvement Example (English)
(P5)SMED-Common Problem and Solutions(English)
Employee Motivation and Relevant Theory
Motivational Technique and Fredrick Taylor Concept (English)
Hawthorne Study (English)
Maslow's Law of Hierarchy (English)
Six Sigma Real World Case Study # 01 (Reduction of Rejection)
(P1) GB case Study (Reduction of rejection) Define Phase (English)
(P2) GB case Study (Reduction of rejection) Measure Phase (English)
(P3.1) GB case Study (Reduction of rejection) Charter (English)
(P3.2) GB case Study (Reduction of rejection) Charter (English)
(P4) GB case Study (Reduction of rejection) Analyze Phase (English)
(P5) GB case Study (Reduction of rejection) Improve Phase(English)
(P6) GB case Study (Reduction of rejection) Control Phase(English)
Six Sigma Real World Case Study # 02(Tool Cost Reduction)
(P1) GB Case (Tool Cost ) Define
(P2) GB Case (Tool Cost)Measure
(P3) GB Case (Tool Cost)Analyse
(P4) GB Case (Tool Cost)Improve
(P5)GB Case (Tool Cost)Control
Six Sigma Real World Case Study # 03(Laboratory)
Six Sigma Case Study (Laboratory Process Improvement) - Part 1
Six Sigma Case Study (Laboratory Process Improvement) - Part 2
Six Sigma Case Study #04 (Quality Improvement Non-Turbo Parts)
(P1)Six Sigma case study (Define)-Quality Improvement: Non Turbo Parts- English
(P2)Six Sigma case study(Measure Phase)-Quality Improvement-Non Turbo Parts- English
(P3)Six Sigma case study(Analyze + Improve Phase)-Quality Improvement-Non Turbo Parts- English
(P4)Six Sigma case study(Control Phase)-Quality Improvement-Non Turbo Parts- English
Six Sigma Case Study# 05 (Recruitment Firm)
(P1) Six Sigma Case Study(Recruitment Process)-Intro and Define (English)
(P2) Six Sigma Case Study(Recruitment Process)-Define Phase (English)
(P3) Six Sigma Case Study(Recruitment Process)-Measure Phase (English)
(P4) Six Sigma Case Study(Recruitment Process)-Analyze + Improve + Control Phase (English)
Practice Test - LSSGB
Lean Six Sigma Green Belt (LSSGB) -Practice Test # 01
Lean Six Sigma Green Belt (LSSGB) -Practice Test # 02
Lean Six Sigma Green Belt (LSSGB) -Practice Test # 03
E - Books, pdfs, reference material etc
LSSGB Reference Study Material (DMAIC)
The Six Sigma Way - Quality Management(PDF)
LSSBB Handbook (PDF)
Top 25 Lean Tools
Creating a Lean Culture (PDF)
Six Sigma Project (Green & Black Belt) Template (Optional for Students)
Tables - t, z, f & Chi square
t,z & f table
DPMO to Sigma conversion table
Toll Gates Checklist
DMAIC Toll Gates_Define Checklist
DMAIC Toll Gates_Measure Checklist
DMAIC Toll Gates_Analyse Checklist
DMAIC Toll Gates_Improve Checklist
DMAIC Toll Gates_Control Checklist
Attribute Study (MSA)
Control Plan (QHI)
FMEA blank format (AIAG+ VDA)
Gauge R&R (MSA)
SOD Table _V4
SPC (Format)-New
Table of Control Chart Constant
Brainstorming (Format)
Fish Bone Diagram (Template)
Gantt Chart (Template)
Histogram (Format)
Multi-voting (Format)
Why-Why Analysis (Format)
Recommended Next Courses for Career Growth:
Confirmation for Final Test
Registration Form

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