Six Sigma Green Belt

COURSE CONTAINS 154 LECTURES OF 15 HOURS & 108 RESOURCES TO DOWNLOAD – ONE OF THE COMPREHENSIVE LEAN SIX SIGMA COURSES IN UDEMY.

Downloadable resources in LSS Project Template & Full LSS Case Study with Solution

This Course will help you to prepare well and therefore succeed at IASSC and ASQ Exams. Here’s why:

Latest student testimonials:

David Marshall – ” I wanted to update this rating I already gave the course a five but I wanted to give it extra props for helping me pass the ASQ CSSGB exam today. I accidentally left one of my 2 notebooks at home when I took the exam so my only open book materials were the notes I took from this class and other than the in-depth DFSS questions it definitely helped me pass. Along with the applicability of the material to my job and daily activities the course was definitely worth the time and investment. Great course, great value!”

Naveen Kumar – “I just passed my IASSC Green Belt exam and I couldn’t have done it without the help of this course. I do not have a statistical background and yet, this course was immensely helpful to understand the basic concepts of Lean Six Sigma. Neil did a great job here. Appreciate it!”

Kimi – “First of All, I passed the ASQ certified Green Belt exam several days ago. Here is a big appreciation to the Instructor. Regarding the course for passing the exam, it is a nice introduction to the Six Sigma in general.It gives you lots of concepts during the courses in a very understandable way.”

Joe Lance -“The course was very thorough. It was detailed, and challenging. The Instructor was very knowledgeable and professional. The supporting material was good, and I learned a lot. I will recommend this course to my friends, and I will return for Black Belt certification after I have time to incorporate the skills I learned in this course.”

Shashi Kumar Surthy – “Really good course and it gave me more confidence on how to apply tools to different project in an organization. I would recommendation this course to everyone who is looking to build their career in IT.”

Jeffrey-Peter Hauck – ‘This is a very comprehensive and informative course. Neil is very knowledgeable and is the perfect guide to take you through all sections toward your Lean Six Sigma Green Belt certification!”

Robert Heath Chambless – ‘I can understand the speaker and the speaker is very thorough in his opening explanation of Six Sigma. It mirrors some of the best books so they can be used as a reference. It is worth the money. I am more than satisfied with this course.”

Emil Wisekal – “This course presents a clear path to application of the Six Sigma tools. I like the format and the pace.”

Tyler Vargha – “I am learning so much from this course and enjoy the examples that are used.”

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Lean Six Sigma Certification (Seis Sigma Certificación) is undoubtedly in demand. An average Lean Six Sigma Green Belt gets a pay check of $82,000 PA as per job  portals such as indeed com. Google it and check out for yourself. So,  your investment in this Course is more than just worth it!

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This course can help you to prepare for certification exams of IASSC and CSSC.

In 2015, we rolled out the first ever successful Massive Open Online Course (MOOC) on Lean Six Sigma titled  “Gain with the power of lean six sigma”, a 6 week course which had more  than 1600 registrations across US, Europe, Africa & Asia-Pacific.

There are more than a dozen reasons to consider our Course:

1. Globally Recognized – We have over 5000+ associated trained and certified across geographies
2. Universal Lean Six Sigma Book of Knowledge – This course curriculum is designed by benchmarking BoK of ASQ, IASSC, CSSC etc. All that a green belt needs to know is comprehensively covered.
3. Lectures on Minitab – Detailed Lectures on how to perform various analysis in Minitab
4. Live Case Study based approach  – This is the first course in this platform with Live Case Study for Green Belt Course called “ClearCalls Case” which will help you to understand how a problem is solved  and Six Sigma project is executed step-by-step.
5. Free E-mail Guidance – You will have access by email to Canopus Master Black Belt for guidance and clarification.
6. Offline Hands-on Activities – There are over 20 hands-on offline activities from “ClearCalls” case that you will solve across different sections, one step at a time thus You’ll learn by doing.
7. Difficulty Level – Lectures in this course have been grouped as ‘Low’, ‘Medium’ and ‘High’ on difficulty level, thus enabling you to pay more attention & revise difficult lectures.
8. Application Knowledge –  90% of lectures in this course are designed  for you to ‘Apply’, ‘Analyze’, ‘Evaluate’ & ‘Create’ as per Bloom’s taxonomy.
9. Free Proprietary Excel Templates –  Over 20 proprietary templates are included in this course for your future use at free of cost.
10. Step-by-Step Instructions – For all tools, step-by-step instructions is included in templates for future use.
11. Downloadable Take-aways – Crisp downloadable takeaways for each section is included for your reference
12. Built-in DMAIC Structure – For ease, this entire course is structured under 5 different phases of Six Sigma – DMAIC.
13. Minitab Statistical Software- This course includes elaborate instructions to use Minitab including downloadable step-by-step screenshots and interpretation of results.
14. Quiz – 90 multiple choice questions included in 18 sections to test your knowledge.

Few lectures are available to preview and in case you have questions, feel free to do me a message on Udemy. Thanks…neil (Course Facilitator & Canopus Principal)

List of Lean Six Sigma (Lean Seis Sigma Certificación) Tools Covered

1: Introduction to Six Sigma I

• Six Sigma & its Goals
• Six Sigma as a Performance Measure, Problem Solving Tool, & Management Philosophy
• Problem Solving Tools Used in Six Sigma & its Evolution
• Variation and Significance
• Critical-To-Quality Measures & Specification Limits
• Definition & Understanding of Defects & Defect Opportunities
• Source of Defects – Variation & Off-Centered

2: Introduction to Six Sigma II

• Sigma Scores and Percentages
• Defectives per Million & Defects per Million Opportunities
• Relationship between Sigma Scores and DPMO and Percentages
• Lean, Goals of Lean & Lean Six Sigma
• Six Sigma Problem Solving Methodologies
• Six Sigma Tool Kit & Business Process Management Model

3: Six Sigma Problem Solving

• Business Problem and Six Sigma Project & its Sources
• Generic Model & Approach to Business Problem Solving
• Logic and Intuition, Just do It, DMAIC, & DFSS – IDOV
• Selecting the Right Problem Solving Method
• Need & Criteria for Project Selection
• Project Selection tools – Pareto Diagram, & Project Selection Matrix
• DMAIC Project Roadmap & Characteristics of Problem Solving
• Project Tools, Tollgate Review & Project Durations
• DFSS Project Roadmap

4: Six Sigma Roles & Responsibilities

• Roles & Responsibilities
• Yellow, Green, Black, & Master Black Belt
• Champion / Process Owner & Deployment Champion
• Certification Criteria to be a Yellow Belt, Green Belt, Black Belt & Master Black Belt
• Career Chances: Six Sigma Professionals
• Types of Certification & ASQ/IASSC Certification Criteria

5: Listening to Customer

• Customer – Internal & External
• Voice of Customer (VOC) & Need for Voice of Customer
• Verbatim & Verbatim to Requirements
• Gather VOCs – Direct & Indirect Method
• Methods of Gathering VOC & Analyze VOC
• Definition & Procedure for Affinity Diagram
• Customer Priorities & Kano Model
• Customer Requirements – Must-Be’s, Delighters, One Dimensional
• Quality Function Deployment

6: Define – Completing a Project Charter

• Definition & Elements of Project Charter
• Business Case & Problem Statement
• Measure of Success of a Project
• Primary and Secondary Metrics
• Goal Statement
• Team Members & Roles
• Project Benefits, Translation Plan, & Project Duration Guidelines
• Project Kick-off & Weekly Meetings
• Need for Project Scoping, Project Scoping & Tools
• Procedure to use In Frame / Out Frame

7: Define – Process Mapping Tools

• Process Mapping Tools, its Purpose, & Types
• Definition & Purpose of SIPOC, Cross-Functional Process Maps, Process Flowchart, Standard Operating Procedure
• Procedure of SIPOC & Cross-Functional Process Map
• Process States – As-is, Should-be & To-be
• Value to customer & Definition & Purpose of Process Value Analysis
• Value Added, Non Value Added & Value Enabling Activities
• Important Terms & Procedure of Process Value Analysis

8: Measure – Cause & Effect Relationships

• Definition of Cause & Effect
• Types of Causes – Possible, Potential, & Root Causes
• Cause & Effect Diagram
• Structure, Purpose, Benefits & Procedure of Cause & Effect Diagram
• Definition & Procedure for Performing 5 Why
• Definition & Procedure to Construct a Cause & Effect Matrix
• Definition of Root Cause Analysis
• Definition & Procedure for Practical RCA
• Definition of Graphical RCA
• Definition of Analytical RCA

9: Measurement System Analysis

• Accuracy, Resolution, Bias
• Stability, Linearity
• Precision, Repeatibility and Reproducibility
• Discrete GRR

10: Measure – Data Types

• Data Collection Roadmap
• Types of Data – Attribute, Variable & Locational Data
• Comparison & Conversion between Variable & Attribute Data
• Types of Measurement Scales – Nominal, Ordinal, Interval, & Ratio Scale

11: Measure – Data Sampling

• Definition, Need & Applications of Data Sampling
• Sampling Strategy & Approach for Sampling Plan
• Population & Process Sampling
• Sample Size Computation & Need
• Computing Discrete & Continuous Data Sample Size

12: Measure – Data Collection

• Data Collection Roadmap
• Data Collection Plan, Template
• Data Collection Methods

13: Measure – Intro to Business Statistics

• Definition of Probability Distribution, Types, & Importance
• Measures of Central Tendency – Mean, Median, Mode
• Relationship between Mean Median & Mode & Types of Distributions
• Measures of Dispersion – Range, Span, Variance, Standard Deviation
• Types of Descriptive Statistics – Graphical, Numerical
• Definition, Application & Properties of a Normal Distribution & Outlier
• Confidence Limits, Confidence Level & Confidence Intervals
• Definition of Central Limit Theorem & its Application

14: Measure – Graphical Methods

• Definition, Interpretation, & Procedure of Histogram
• When to use a Graphical Summary
• Definition, Interpretation, & Procedure of Box Plot
• Skewness & Kurtosis
• Normality Test & its Procedure
• Definition of Stem-and-Leaf Plot, Run Charts, Scatter Plots
• Run Chart Patterns & Interpretation with Run table
• Interpretation of Scatter Plots – Direction, Shape, & Strength of Relationship

15: Measure – Assessing Capability & Performance

• Measures of Current Performance
• Process Capability, Process Capability Study & Indices
• Traditional Measures – Cp & Cpk & their Acceptable Limits
• Sigma Capability, Computation of Sigma Scores & Z Tables
• Traditional Measures & Sigma Capability
• Impact of time of Process Capability
• Long Term Vs Short Term & Long Term Indices
• Relationship between Long & Short Term & Cpm

16: Analyze – Theory of Hypothesis Testing

• Hypothesis – Introduction
• Need for Statistical Significance & Statistical Inference
• Hypothesis Testing, Applications & Basics
• Hypothesis Statements – Null & Alternative Hypothesis
• Significance Levels, & Alpha Values
• Tests of Significance – Statistical & Practical Significance
• Test Statistic & P Value & Its Interpretation
• Errors in Hypothesis Testing & Types of Errors

17: Analyze – Performing Hypothesis Test

• Hypothesis Tests for Means, Variance, Proportions
• Selection of Hypothesis Tests & Criteria for Selection
• Z-Test, Z-statistic, & Assumptions
• t-Test, t-Statistic, 1-t Test & 2-t Test, & Assumptions
• Paired Data – Paired t-Test, Preparation & Procedure
• ANOVA & F-test, Assumptions, Preparation & Procedure
• Chi-square Test & Statistic, Assumptions, Preparation & Procedure
• Proportions Test – 1-p Test & 2-p Test, Assumptions, Preparation & Procedure

18: Analyze – Correlation & Regression

• Correlation, Regression, Scatter Plots, & Correlation Coefficient
• Procedure of Simple Linear Correlation & Interpretation of Scatter Plots
• Application of Regression & its Types
• Regression Line of Fit, Regression Equation, & its Statistical Significance
• R-SQ Value & Procedure of Simple Regression
• Prioritization of Causes, & Pareto Principle
• Definition & Procedure for Pareto Chart
• Definition & Procedure of Control-Impact Matrix

19: Improve – Lean Management Systems

• Definition, Origin, Principles & Goals of Lean
• Value, Value Stream, Concept of Muda (Waste) & Categories of Waste
• 7 Types of Wastes, How to Identify them, & Waste Identification Template
• Value Stream Mapping (VSM), Symbols, Benefits & Procedure
• Push System, Pull System, Single Piece Flow, 5S, Kaizen, SMED, Poka-Yoke
• Types of Poka-Yoke – Shut Down, Prevention, Warning, Instructions
• Heijunka & Visual Control

20: Improve – Generating & Screening Solutions

• Approach to Solution Generation, Definition, & Types of Lateral Thinking
• Edward De Bono, Definition & Concept of Random Stimulus
• Brainstorming – Unstructured, & Structured Brainstorming
• Brainstorming Principles & Types
• Solution Screening Techniques, Need, Approach, & Filtering Techniques
• Definition of N/3 Voting & Procedure
• Definition of Pay Off Matrix & Procedure
• Definition of Criteria Based Matrix (CBM) & Procedure
• Definition of Pugh Matrix & Procedure

21: Improve – Failure Mode Effects Analysis

• Definition & Elements of Process Risk
• Managing Six Sigma Process Risks
• Tools Used in Risk Management, Definition & Approach to FMEA
• Definition of Failure Modes, Effects, Cause, Current Controls
• Prioritizing Risks, Definition of Risk Priority Number & Calculation
• Definition of Severity & Severity Rating Scale
• Definition of Occurrence & Occurrence Rating Scale
• Definition of Detection & Detection Rating Scale
• Risk Mitigation Strategies & Application of FMEA
• Definition of DFMEA

22: Control – Control Plan

• Process Control, Role of Process Control in 6 sigma projects & in Control Phase
• Process Control Plan, Control Parameters, Method of Control
• Reaction Plan & Procedure
• Statistical Process Control (SPC), History, & its Application
• Definition, Purpose, Selection & Interpretation of Control Charts
• Control Limits, Normal Distribution, Specification Limits
• Stability Tests & Guidelines for Stability Tests
• Solutions Implementation & Statistical Validation of Improvements
• Post-Improvement Capability Analysis, Project Documentation & Benefits
• Project Closure & Translation Plan