What you'll learn:
- Prepare for Lean Six Sigma Green Belt Certification
- Easily solve real life business & home related problems using Lean Six Sigma Techniques
- Able to perform various analysis in Minitab
COURSE UPDATED IN May 2023
New Lectures Added -
Lecture 2 : Is Lean Six Sigma Relevant in the Age of AI and Industry 4.0?
Lecture 10: Cost of Poor Quality
New Resources Added - Lecture 70 - Simplified Sample Size Cheat Sheet
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COURSE UPDATED IN Recent Past
New & Enchanced Topics - Sigma Cal in Excel, DPU, RTY, QFD, Project Management Tools, Team Dynamics, Central Limit Theorem, Multi-Vari, Non-parametric Tests, DOE, Cont GRR, TPM, Kaizen
100 FREEMOCKTESTfor GBCSSGBExam Preparation
Also includes Subtitles in English
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COURSE CONTAINS 174 LECTURES OF 16 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 all Global Body Certification Exams such as A** and IA***. 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 *** 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 IA*** 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 A** 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 I**** and A**.
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 ourCourse:
Globally Recognized - We have over 5000+ associated trained and certified across geographies
Universal Lean Six Sigma Book of Knowledge - This course curriculum is designed by benchmarking BoK of A**, IA***, C*** etc. All that a green belt needs to know is comprehensively covered.
Lectures on Minitab - Detailed Lectures on how to perform various analysis in Minitab
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.
Free E-mail Guidance - You will have access by email to Canopus Master Black Belt for guidance and clarification.
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.
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.
Application Knowledge - 90% of lectures in this course are designed for you to 'Apply', 'Analyze', 'Evaluate' & 'Create' as per Bloom's taxonomy.
Free Proprietary Excel Templates - Over 20 proprietary templates are included in this course for your future use at free of cost.
Step-by-Step Instructions - For all tools, step-by-step instructions is included in templates for future use.
Downloadable Take-aways - Crisp downloadable takeaways for each section is included for your reference
Built-in DMAIC Structure - For ease, this entire course is structured under 5 different phases of Six Sigma - DMAIC.
Minitab Statistical Software- This course includes elaborate instructions to use Minitab including downloadable step-by-step screenshots and interpretation of results.
Quiz - 90 multiple choice questions included in 18 sections to test your knowledge.
Practice questions -19 Crossword puzzle questions on various six sigma topics included
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