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Lean Six Sigma Green Belt Course Features

2 days instructor led training by expert instructors.

Access to LMS study materials

Exam prep question bank

Session recording access


Learning Objectives of  Lean Six Sigma Green Belt Course


By the end of this course the attendees will  

  • Be well versed in the core to advanced elements of Lean Six Sigma Methodology. 

  • Able to lead improvement projects and / or serves as a team member as a part of more complex improvement projects lead by a Certified Black Belt, typically in a part-time role.  

  • Have a thorough understanding of all aspects of the Lean Six Sigma Method including competence in subject matters contained within the phases of Define, Measure, Analyze, Improve and Control (DMAIC)  

  • Understand how to implement, perform, interpret and apply Lean Six Sigma at a high level of proficiency. 


Target Audience  of Lean Six Sigma Green Belt Certification 


Lean Six Sigma is aimed at professionals wishing to understand and apply the Lean Six Sigma principles and instruments in order to work effectively with, or as a member of, a process improvement team. Lean Six Sigma is suitable for: Improvement Managers, Operational Line Managers, Team Managers, Project Managers, Programme Managers, Change Managers, Finance Managers, IT Managers, HR Managers  


 Lean Six Sigma Green Belt Exam and Certification information 


  • Questions - 100 MCQ Questions 

  • Duration – 3 Hours 15 minutes 

  • Pass Marks - 50% 

  • Closed book exam 

  • Online proctored 

  • Free second attempt 



 Lean Six Sigma Green Belt Certification Journey 

Any Other Important Information 


  • This exam is accredited by TUV Rhineland NIFE Academy and this certificate is valid for a lifetime. 

  • You get a free second attempt in case you fail in first attempt. 

Course Outline

Define Phase
  • 1.1 The Basics of Six Sigma 
  • 1.2 The Fundamentals of Six Sigma 
  • 1.3 Selecting Lean Six Sigma Projects 
  • 1.4 The Lean Enterprise 
Measure Phase 
  • 2.1 Process Definition 
  • 2.2 Six Sigma Statistics 
  • 2.3 Measurement System Analysis 
  • 2.4 Process Capability 
Analyze Phase
  • 3.1 Patterns of Variation 
  • 3.2 Inferential Statistics 
  • 3.3 Hypothesis Testing 
  • 3.4 Hypothesis Testing with Normal Data 
  • 3.5 Hypothesis Testing with Non-Normal Data 
Improve Phase
  • 4.1 Simple Linear Regression 
  • 4.2 Multiple Regression Analysis 
  • 4.3 Designed Experiments 
  • 4.4 Full Factorial Experiments 
  • 4.5 Fractional Factorial Experiments 
Control Phase
  • 5.1 Lean Controls 
  • 5.2 Statistical Process Control (SPC) 
  • 5.3 Six Sigma Control Plans 

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