Black Belt – Online Course


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A team of professionals, mustered with a mission: to spread the contemporary operational excellence strategies, among the aspirant individuals and industries. Over a decade, it has been helping more than thousands of aspirants to excel their career through application focused learning.

This course is aimed for those who wish to take six sigma Green and Black belt combined and wish to enhance their analyzing skills in advanced six sigma tools. A Six Sigma black belt manager heads cumbersome projects and acts as coach/mentor and statistical analyst as well during project realization, this course provides the required knowledge and skills that are sought by a black belt aspirant.

Key learning Objectives are to make you: understand, apply, analyze, evaluate, and create techniques as prescribed by six sigma body of knowledge; learning materials include video lectures, PDF files of lectures that can be downloaded, Minitab exercise files that can be downloaded for practice, practice quizzes. The course contents are prepared by scholars, with more than 30 years of academic and industrial experience at leading MNCs. On an average, if a working adult devotes one hour per day, he or she would be able to complete this course within 10 to 15 days.

Course Outline:


  • Course Summary 
  • Preview
  • Value of six sigma 1 
  • Value of six sigma 2 
  • Organization Drivers and Metrics 
  • Organizational Goals and Six Sigma Projects 
  • Lean Concepts and Tools 
  • Value added, Non value added activities and Theory of Contraints 
  • Design for Six Sigma in the Organization 
  • Overview: Six Sigma and the Organization
  • Process Management for Project 1 
  • Process Management for Project 2 
  • Project Management Basic 1 
  • Project Management Basic 2 
  • Management and Planning Tools 
  • Process Performance 1 
  • Process Performance 2 
  • Failure Mode and Effect Analysis (FMEA) 
  • Team stage and Dynamics 1 
  • Team Dynamics and Performance 2 
  • Introduction to Minitab 
  • Six Sigma- Define
  • Process Modeling 
  • Process Input and Output 
  • Drawing valid statistical conclusions 
  • Central Limit Theorem and Sampling Distribution 
  • Basic Probability Concepts 
  • Collecting Data 
  • Descriptive Statistics 
  • Graphical Methods (Stem Leaf/Run Chart/Box plot) 
  • Graphical Methods (Scatter Plot) 
  • Graphical Methods (Pareto Charts) 
  • Graphical Methods (Histogram) 
  • Discrete Probability Distributions 
  • Continuous Probability Distributions 
  • Measurement System Analysis 
  • Process Capability Studies 1 
  • Process Capability Studies 2 
  • Process Capability Studies 3 
  • Six Sigma-Measure
  • Exploratory Data Analysis 
  • Hypothesis Testing 1 
  • Hypothesis Testing 2 
  • Hypothesis Testing 3 
  • Design of Experiment (DOE) 
  • Statistical Process Control 1 
  • Statistical Process Control 2 
  • Six Sigma- Improve and Control
  • Six Sigma Green Belt Course Conclusion 
  • Define and Measure Phases
  • Multivariate Tools
  • Principal Component Analysis
  • Factor Analysis
  • Discriminate Analysis
  • Attribute Data Analysis
  • Hypothesis Testing
  • Selection of Appropriate Hypothesis Test
  • Non Parametric Test 1
  • Non Parametric Test 2
  • Introduction to Design of Experiments
  • Main and Interaction Plots
  • Fractional Factorial Design
  • Planning for DOE
  • Analyzing DOE
  • Conclusion


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