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Description

Doing a six sigma green and black belt together will save you a lot of your professional time.  The basic structure of the six sigma green and black belt is the same as DMAIC (Define, Measure, Analyse, Improve, and Control).  What makes a black belt different from a green belt is:
-  A black belt is a change agent, he identifies an improvement opportunity.
-  Black belt knows how to define it and lead a team towards the project completion.
-  Black belt knows advanced statistical tools and uses them appropriately in the entire cycle of DMAIC.
This course is aimed at 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 the 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 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. 
     
Who this course is for:
Business managers, entrepreneurs, quality consultants, doctors, research scholars, engineering and management students.

What you'll learn

By the end of this course, you will understand and apply the concepts of Six Sigma strategy to achieve high accuracy and precision in critical processes.

Become a Six Sigma manager and help industries to reduce operations cost and achieve high levels of customer satisfaction and loyalty

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Introduction
12
1.1-Introduction
1.2-Value six sigm brings to you
1.3-Levels of six sigma skills
1.4-Six sigma a historical perspective
1.5-Concept of variation 1
1.6-Concept of variation 2
1.7-Contributions of eminent quality engineers
1.8-Contributions of eminent quality engineers 2
1.9-Contributions of eminent quality engineers
1.10-8 lean wastes
1.11-Understanding the process
1.12-Understanding the process
2-Organization-Wide Planning and Deployment
11
2.1-Strategic planning and deployment for initiatives
2.2-Portfolio analysis
2.3-Hoshin kanri
2.4-SWOT analysis
2.5-PEST analysis
2.6-Relationships among business systems and processes
2.7-Benchmarking
2.8-Business performance measures
2.9-Financial measures 1
2.10-Financial measures 2
2.11-Team stages of development
3-Six Sigma- Define
26
3.1-Process Management for Project
3.2-Strategic planning and deployment for initiatives
3.3-Process owners and stakeholders
3.4-Identify customer requriements
3.5-Determine the CTQs
3.6-Quality Function Deployment (QFD)
3.7-Project Identification 1
3.8-Project Identification 2
3.9-Project charter
3.10-Team stages of development
3.11-Define phase steps
3.12-Problem statement
3.13-Problem statement (recording of live session)
3.14-Problem statement in detail (google drive link recording of live sessions)
3.15-Project scope
3.16-Project documentation
3.17-Process Management for Project
3.18-Project identification
3.19-DPMO
3.20-Process yield
3.21-Cost of poor quality
3.22-Affinity diagram
3.23-Activity network diagram
3.24-Interrelationship diagram
3.25-Process decision program chart
3.26-Six Sigma- Define
4-Six Sigma- Measure
49
4.1-Process Modeling
4.2-Process analysis 1
4.3-Process analysis 2
4.4-Sources of variation
4.5-Cause and effect diagram
4.6-What is statistics?
4.7-Basic statistics (Recording of live session)
4.8-Basic statistics (google drive link recording of live sessions)
4.9-Population and sample
4.10-Basic probability concepts 1
4.11-Basic probability concepts 2
4.12-Types of data and measurement scales
4.13-Sampling and data collection methods
4.14-Descriptive statistics 1
4.15-Descriptive statistics 2
4.16-Mean and standard deviation (recorded live session)
4.17-Mean and standard deviation (google drive link recording of live sessions)
4.18-Central limit theorem
4.19-Central Limit theorem in detail (recorded live)
4.20-Random data generator in Minitab (recording of my live sessions)
4.21-Central Limit Theorm explained (google drive link recording of live sessions)
4.22-Stem and leaf
4.23-Boxplots
4.24-Scatter diagram
4.25-Histogram
4.26-Graphical summary in Minitab (recorded live session)
4.27-Graphical summary in Minitab (google drive link recording of live sessions)
4.28-Pareto analysis
4.29-Pareto Analysis in Minitab (recorded live session)
4.30-Pareto analysis in Minitab (google drive link recording of live sessions)
4.31-Statistical distributions
4.32-Binomial probability distributions
4.33-Binomial probability distribution in Minitab (recorded live)
4.34-Binomial Distribution in initab (google drive link recording of live sessions)
4.35-Poisson distributions
4.36-Normal distributions
4.37-Normal distribution in Minitab (recorded live session)
4.38-Normal Distribution in Minitab (google drive link recording of live sessions)
4.39-Students t distribution
4.40-Measurement System Analysis (MSA)
4.41-MSA in Minitab (recording of live sessions)
4.42-MSA in Minitab (google drive link recording of live sessions)
4.43-Process capability
4.44-Process capability examples
4.45-Process capability indices
4.46-Process performance indices
4.47-Process capability in Minitab (recording of live session)
4.48-Process capability Minitab (google drive link recording of live sessions)
4.49-Six Sigma-Measure
5-Six Sigma- Analyze
29
5.1-Introduction to analyse phase
5.2-Multivari studies
5.3-Correlation and linear regression
5.4-Corelation and regression in Minitab (recorded lecture)
5.5-Corrleation regression in Minitab (google drive link recording of live sessions)
5.6-FMEA
5.7-Fault Tree Analysis
5.8-Multi variate study
5.9-Principal component analysis
5.10-Factor analysis
5.11-Discriminant analysis
5.12-MANOVA
5.13-Hypothesis Testing
5.14-Hypothesis Testing steps
5.15-Types of hypothesis testing
5.16-Setting for hypothesis testing
5.17-Null hypothesis examples
5.18-Selection of hypothesis tests
5.19-Selection of hypothesis tests 2
5.20-Test of variance
5.21-ANOVA
5.22-ANOVA in minitab (recording of live session)
5.23-ANOVA in Minitab (google drive link recording of live sessions)
5.24-Chi-square test
5.25-Chi square test in Minitab (recording of live session)
5.26-Chi square test in Minitab (google drive link recording of live sessions)
5.27-Logistic regression
5.28-Kruskal wallis test
5.29-Six Sigma- Analyze
6-Six Sigma- Improve and Control
13
6.1-DOE basics 1
6.2-DOE basics 2
6.3-DOE graphs and plots
6.4-Basic lean tools
6.5-Statistical process control 1
6.6-Statistical process control 2
6.7-Control chart for variables
6.8-Variable charts in Minitab
6.9-Control charts for attributes
6.10-Attribute charts in Minitab
6.11-Control chart analysis
6.12-Control plan
6.13-Six Sigma- Improve and Control
7-OTIFAS certification process
1
7.1-Introduction to OTIFAS certification process