Lean Six Sigma Black Belt Certification Training

——–Call Us Now 1800-212-2120

Course Agenda

What is Lean Six Sigma Black Belt ?

ExcelR offers three days of Lean Six Sigma Black Belt certification and training for both individuals and corporate employees. Lean Six Sigma certification training are delivered by experienced and one of the best Lean Six Sigma trainers in the industry. Training will be driven on Minitab & practical exposure is assured with a classroom project. Starting with the introduction to Lean methodology, training will go on to explain the advanced concepts of Six Sigma. Underlying idea is that Lean and Six Sigma cannot be seen in isolation. Both these “body of quality” complement each other and hence the name of the program is Lean Six Sigma.

Participants will be exposed to various Lean Six Sigma tools used in DMAIC (Design, Measure, Analyze, Improve, and Control) methodology. A brief explanation about DFSS (Design for Six Sigma) methodologies such as DMADV (Design, Measure, Analyze, Design, Verify) and IDOV (Identify, Design, Optimize, Validate) will be provided so that participants are clear about the differences between DMAIC and DFSS.

You will be certified by the International Association for Six Sigma Certification (IASSC) through PEOPLECERT, TUV or ASQ. ExcelR is an Accredited TUV (German based certification body) training partner. To know more about these, please go through https://www.tuv-sud.in/in-en


  1. Four days classroom training or 15 days online training or both for one cost
  2. Mini-tab statistical tool training along with Lean Six Sigma training
  3. Hard copy of training material
  4. Mock exams at the end of each topic to get the thoughts ignited
  5. Exam at the end of training to get certified
  6. PDUs to claim towards PMI credentials

Overview of Lean Six Sigma Certification Training:

This program is aimed to provide both theory and practice oriented inputs for the participants to enable them to implement Lean Six Sigma projects in their organizations. The training is focused on professionals across all domains including IT/ITES, Civil Engineering/ Real Estate, Manufacturing, Electrical and Electronics industries and is designed to suit their needs.

While discussing Lean Six Sigma Certification, the participants can enroll in four credentials depending upon their experience level – Yellow Belt, Green Belt, Black Belt, Master Black Belt. Each credential requires students to prepare for training in different ways starting with Yellow belt catering to the fresher’s, to Master Black Belt for the advanced practitioners. Successful Lean Six Sigma implementations require a company-wide Lean Six Sigma culture, with awareness and buy-in from all employees in an organization.

Things You Will Learn…

Define Phase:

  1. Roadmap of DMAIC
  2. Overview of Define Phase
  3. Critical Success Factors of Six Sigma
  4. 3-Root Causes of Six Sigma Failure
  5. Change Management
    • Communicate the need for change
    • Change Management Tools
  6. 8-Steps of John Kotter
  7. Overview of DMAIC
  8. R & R of Six Sigma Team
  9. 4 Types of Resistance
  10. How to deal with Resistance
  11. Stakeholder Analysis
    • Key Stakeholders
    • Prioritization of Stakeholders
  12. 4-Steps of Stakeholder Analysis
  13. Introduction to Define Phase
  14. 4- Voices to identify the Project
  15. Sources of a Potential Project
  16. Balanced Scorecard
  17. Replication Opportunities
  18. Source of Ideas
    • Benchmarking
    • Affinity Diagram
  19. Screening DMAIC
  20. Prioritization Matrix
  21. Critical to Satisfaction
    • 4 Attributes of Satisfaction
    • 4 Steps plan for VOC Data
  22. 3 – Critical to’s
  23. Metrics and Project Y’s
  24. Drill Down
  25. Choice of CTQ and Project Y
  26. Quality Function Deployment
  27. Problem Definition
    • Tree Example
  28. 3 Rules of Making Splits
  29. Rules for using Decision Trees
  30. Primary & Secondary Metrics
  31. 6 Steps of Project Charter
  32. Project Scoping Tool
  33. Calculating Financial Benefits
  34. 3- Key Financial Metrics
  35. Team Selection
  36. Team Formation
  37. Team Stages
  38. Managing Team
  39. Addressing Resistance
  40. Time Management
  41. Toll Gate Reviews
  42. Summary of Define Phase

Measure Phase:

  1. Overview of Measure Phase
  2. Performance Standard Matrix
  3. Three Steps of Data Collection
  4. Measurement System Analysis
  5. Types of Measurement Error
    • Precision versus Accuracy
    • Stability versus Linearity
    • Discrimination
    • Calibration & Traceability – Accuracy
    • Precision Elements
  6. Criteria for Acceptance
  7. Measurement System Analysis Checklist
  8. Repeatability & Reproducibility (R & R) Study
  9. Gage study on Continuous Data
  10. Continuous Gage R & R Approach
  11. Do’s for MSA
  12. Analysis of Graphs
  13. Calculation behind Gage R & R Numbers
  14. Gage Study for Discrete Data
  15. Result Analysis
  16. Logical Validation
  17. Baseline Statistics
  18. Population versus Sample
    • Population versus Sample Statistics
  19. Mean vs Median
  20. Continuous Data
  21. Normal Distribution
    • Standard Normal Curve
    • DPMO and the Normal Curve
    • DPMO vs Z Values
  22. Probability Distribution
  23. Central Limit Theorem
  24. Sigma Level
  25. Specification versus Control Limits
  26. Short Term and Long Term Performance
  27. Process Dynamics
  28. Examples of Special Causes
  29. Sub grouping
  30. Process Performance
  31. Establish Baseline
  32. Sigma Level Measurement
    • Definition of Zbench
    • Calculating Sigma Level
    • Yield to Sigma Level
  33. Process Capability
    • Process Capability using Minitab
    • Process Capability for Normal Data
  34. Sigma Level for Normal Data
  35. Z Entitlement for Normal Data
  36. Z Goal for the Project
  37. What if the Data is not Normal
  38. Box-Cox Transformation
  39. Capability Analysis
    • NonNormal Capability Analysis
    • Binomial Capability for Defectives
  40. Identifying and Prioritizing Potential Causes

Analyse Phase:

  1. Analyse Phase Overview
  2. Problem Flow of Hypothesis Testing
  3. Hypothesis Testing
    • What is Hypothesis Testing
    • Types of Errors in Hypothesis Testing
    • Hypothesis Testing-Acceptance Criteria
    • Hypothesis Testing- Choosing Alpha Level
    • Formulating the Right Hypothesis
    • Types of Hypothesis Testing
    • Procedure for Hypothesis Testing
  4. Data Analysis Tools
  5. Y Continuous, X Discrete
  6. 1 Sample Z Test
  7. 1 Sample T Test
  8. 1 Sample Sign Test
  9. 2 Sample T Test
  10. Paired T Test
  11. Mann – Whitney Test
  12. Statistical vs Practical Significance
  13. Analysis of Variance
  14. One Way ANOVA & Two Way ANOVA
  15. NonParametric Equivalent to ANOVA
  16. Mood’s Median versus Kruskal Wallis
  17. Analysis for Y discrete, X discrete
  18. 1 Proportion Test
  19. 2 Proportions Test
  20. Chi-Square Test
  21. Assumptions of Chi-Square Test
  22. Analysis for Y Continuous, X Continuous
  23. Correlation Analysis
  24. Correlation Coefficient
  25. What is R-Squared
  26. Residual Analysis
  27. Regression Analysis
  28. Analysis for Y Discrete, X Continuous
  29. Logistic Regression Analysis
    • Binary Logistic Regression
    • Ordinal Logistic Regression
    • Nominal Logistic Regression
  30. Process to Narrow down Vital Few X’s

Improve Phase:

  1. Overview of Improve Phase
  2. Design of Experiments
    • Terms of Design of Experiments
    • Types of DOE
    • Phases of DOE
    • Factors for lack of use of DOE
    • Steps involved in DOE
    • Characteristics of DOE
  3. Main and Interaction Effect
    • Mains Effect
    • Interaction Effect
  4. Creation of a Designed Experiment
  5. Power and Sample Size
  6. Blocking
  7. Defining a Custom Design
  8. Customer Satisfaction Survey
  9. Check Model Assumptions
  10. Full Factorial Results Analysis
  11. DOE Analysis
    • DOE Model Reduction
    • DOE Main Effect Plot
    • DOE Interaction Effects Plot
    • DOE Cube Plot
    • DOE Contour and Surface Plot
  12. Fractional Factorial Design
  13. Terms of Fractional Factorial Design
  14. Create Fractional Factorial Designs
  15. Randomized Blocks & Latin Square
  16. Implementation Plan
  17. Present Recommendations

Control Phase:

  1. Overview of Control Phase
  2. Re-Analysis of Measurement System
  3. Statistical Process Control (SPC)
  4. Control Charts
  5. Control Charts or SPC or SQC (Statistical Quality Control)
  6. Steps in Creation and Analysis of Control Charts
  7. Rational Sub-Grouping
  8. Types of Control Charts
    • I-MR Chart
    • I-MR Moving Average Chart
    • I-MR Individual Chart
    • X bar R Chart
    • R Chart
    • X bar S versus X bar R Chart
  9. Control Charts for Attribute Chart
    • P Chart
    • NP Chart
  10. Customer Satisfaction Survey

Design for Six Sigma (DFSS) Frameworks and Methodologies

  • Common DFSS methodologies
  • Design for X (DFX)
  • Robust design and process
  • Special design tools
  • Linkages of Six Sigma to CMMI

Six Sigma Project Evaluation and Examination

Target Audience:

Black Belt certification program is intended for:

  • Managers/executives overseeing personnel involved in the implementation of Lean Six Sigma in their organization
  • Consultants involved in responding to a Lean Six Sigma proposal
  • Quality professionals seeking to learn Lean Six Sigma methodology and the Lean Six Sigma Black Belt toolset in depth, and lead teams through projects
  • Project Managers/ Senior Managers interested in improving the bottom-line by reducing defects
  • Process Group members
  • Metrics council members
  • Statisticians


Prahlad Patidar


The training was structured well,which explains all concepts very holistically followed by the quizzes,that helped me to internalize the knowledge very well

Prahlad Patidar, Project Manager, Tata Consultancy Services


B.Vignesh Kumar

Training was awesome

Good and very useful and interesting .the way of explanation is very nice and appreciated .

B.Vignesh Kumar, Project Engineer-Tendering at SETE, Lanco


Read More

Modes of Training

Why Excelr?

Our Clients