90+ Hours of live virtual sessions speard over 4 Months


30+ Hours of Self Paced Learning Modules through LEANEXT LMS

DMAIC Project Simulations


Starting 11th Feb'24


Saturdays, 19:30 – 21:30
Sundays, 09:30 – 13:30
Additional 1 Hr per Week for Doubt Clarification (Optional)


A Six-Sigma Green Belt (SSGB) is a qualified professional who has a knowhow of Six-Sigma philosophies & principles, DMAIC approach including various statistical & analytical methods, problem solving tools & techniques. They work along with Six-Sigma Black Belt (SSBB) professionals at various levels in continuous improvement projects.

A Six-Sigma Black Belt (SSBB) is a professional who, over & above green belt level skills, thoroughly understands advanced statistical & analytical tools, can demonstrate leadership skills, manage changes, facilitate teams and evaluate business impact of continuous improvement projects.


Professionals from Quality, Engineering, R&D, Manufacturing & Supply Chain functions.

Leaders, experts & practitioners of Continuous Improvement & Operational Excellence initiatives.

Decision makers and aspirants from Data Science & Analytics domains.

Existing Green/Black Belt professionals may also attend the program to gain indepth & practical knowledge on advanced concepts.

Freshers or working professional looking for better career opportunities or industry change



Contents for GB & BB Additional Contents for BB
  • Fundamentals of Quality, Continuous Improvement & Problem Solving
  • History, Philosophy & Evolution of Six-Sigma
  • Where & when to use Six-Sigma
  • Overview of DMAIC & DMADV approach
  • Planning & Deploying Six-Sigma Initiative
  • Alignment with Business Processes & Measures
  • Leadership & team facilitation
  • Managing project & changes
  • Interface with Business Analytics, AI & ML
Statistics, Analytics & Quantitative Techniques
  • Types of Data / Scale, Statistical Terms
  • Descriptive Statistics & Inferential Statistics
  • Graphical Analysis
  • Understanding shape, Location & Dispersion
  • Sampling, Bias, Risk & Confidence Level/Interval
  • Normal Distribution & Central Limit Theorem
  • Descriptive, Predictive & Prescriptive Analytics
  • Other Continuous & Discrete Distributions
  • Advanced Inferential Statistics
  • Forecasting
  • Multivariate analysis
  • Linear Programming & Optimization Basics
  • Montecarlo Simulations
  • Using Minitab
  • Identifying & validating opportunity (KPM Tree, Stratification & Prioritization, Project Risk Assessment, Project Charter)
  • Plant-Process-Product-Problem Studies (Problem Definition, Process Mapping & Walkthrough)
  • Quick-win identification & implementation
  • Voice of Customer, Voice of Business, Cost of Poor Quality
  • Understanding variables to be measured
  • Measurement System Analysis (Average Range & Range Methods, Visual Inspection Method)
  • Data collection & stratification
  • Stability Study (Control Charts for attributes and variables)
  • Capability & Performance Studies (Cp, Cpk, Pp, Ppk, DPMO, DPMU, RTY, sigma level, etc)
  • Advance Measurement System Analysis (ANOVA Method, Signal Detection & Kappa methods, MSA for Destructive & Automatic Inspections, Cg / Cgk, etc)
  • Advanced Capability & Performance Studies (Cpm, Percentile Method)
  • Identifying & transforming non-normal data (Box-Cox Transformation)
  • Hypothesis Testing Concepts (null & alternate hypothesis, power & confidence level, alpha & beta errors, various types of comparisons)
  • Establishing relationship between variables (Scatter, Correlation; Simple & Multiple Linear Regression)
  • Normality & Independence test; Test for Variances, Means & proportions
  • Multivary Chart
  • Logistic Regression
  • Non-parametric tests (Test for Medians)
  • Process FMEA
  • Design of Experiments (DOE) - Factorial, Placket Burman & Taguchi
  • Component Search, Paired Comparisons, Variable Search
  • Ideation, Idea evaluation (prioritization matrix,Pugh Matrix, Matrix Data Analysis)
  • Pilot implementation & result verification
  • TRIZ
  • Hypothesis Testing for Validating Solutions
  • B vs C Test
  • Control Plans
  • SPC, Poka-Yoke, Visual Controls, Layered Audits
  • Documentation, Training & Closure
  • Financial evaluations (B/C Ratio, NPV, IRR,Payback, etc)


Participants would be recognized as “Certified Six-Sigma Green Belt or Black Belt” upon successfully completing respective course and qualifying comprehensive evaluation which includes

  • Attendance (30%)
  • Class Participation (20%)
  • Quizzes (20%)
  • Simulations / Assignments (30%)

Minimum 60% score is required to qualify comprehensive evaluation.

Those who do not qualify comprehensive evaluation will be issued “Certificate of Participation”



“Our program is aimed at building competency for applying advance level Six-Sigma methodology to solve complex business problems, drive continuous improvement and achieve Operational Excellence”

  • Trainer with thorough domain knowledge and hands-on experience of applying Lean Six-Sigma across manufacturing, process & service industries
  • Practical guidelines on problem solving tools & techniques arranged in a systematic & effective manner.
  • Application oriented approach in addition to building strong fundamentals
  • Latest & advanced curriculum benchmarked with international certifications
  • Contents designed to cater needs of diverse industry applications.
  • Blended approach for better engagement & effective learning.
  • Instructor led live virtual & Interactive sessions with examples, cases & videos.
  • Simulations and activities for experiential learning.
  • Hands-on practice on Minitab Software and Excel.
  • Soft copy of reference materials, books & project templates.
  • Session recordings available for limited missed sessions for limited period.
  • Online Guidance on real-life project within 6 months of completing training



Rishikesh Vishwakarma

Founder, Leanext Consulting

MBA IIM Raipur | LSSBB | PGDQM | Mech Engineer

Ex TATA Motors | A passionate Trainer & Consultant with 27 Yrs in Operational Excellence, Lean, Six-Sigma, TQM, TPM, Analytics with corporates and MNCs.

Before starting LEANEXT Consulting, served at TATA Motors for close to 20 years, where I was engaged in designing & delivering Q-Star trainings and facilitating improvement projects for TATA Motors, TATA Marcopolo and their suppliers. Prior to that, I have handled areas like Technical Services, New Product Introduction, Factory Planning & Improvement Group, Quality Assurance, New Product Quality Planning, Quality Engineering at TATA Motors, Lucknow

As a consultant, facilitated result oriented trainings & consulting projects at TATA Motors, TATA Marcopolo, TATA Electronics, TATA Steel, MRM – Kenya, Case New Holland, NELCO, JSW, Aditya Birla Grasim, Organic India, Crompton Greaves, JK Dairy, Gyan Dairy, Anand Group Companies, RSB, Rane, Wabco and many more. Engaged with TATA Business Excellence Group as SME for Operational Excellence.

Have worked with Bradford College, UK for developing skill building program for improving employability in Automotive MSMEs as a part of British Council's UKIERI initiative.

Facilitated M&M (Farm & Auto), Mahindra Sanyo, Force Motors, Glenmark, Samsonite, Mahindra Sanyo, Hero MotoCorp, CEAT Tyres, Lear Corporation, etc as 3rd party consultant.

Rishikesh Possesses excellent facilitation, mentoring & coaching skills in addition to a strong technical, analytical, problem-solving and systemic bent of mind.