Certified Lean Six Sigma Green Belt Training [2022]

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Certified Lean Six Sigma Green Belt Training [2022]
Last updated 12/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 13.96 GB | Duration: 25h 52m

Aligned with the internationally accepted CSSGB, LSSGB Body of Knowledge (2022 version) + Certification.



What you'll learn
Successfully pass the CSSGB, LSSGB exam in the first attempt.
This course is fully aligned with the Six Sigma Green Belt Body of Knowledge provided by most internationally recognized certification bodies.
Confidently use the DMAIC approach of improvement on a medium complexity projects.
Support a Black Belt in the application of DMAIC approach of improvement on a large and complex projects.


Requirements
You should have completed my Six Sigma Yellow Belt course.


Description
Note: Students who complete this course have an option to apply for the certification exam by Quality Gurus Inc. and can achieve the Verified Certification from Quality Gurus Inc. It is optional, and there is no separate fee for that.The Most Comprehensive Lean Six Sigma Green Belt Course: This course has 24 hours of videos covering the full scope. This is not a course with just a few easy topics with nice stories and beautiful photos. This is based on the internationally accepted Body of Knowledge.This course fully aligns with the Six Sigma Green Belt Body of Knowledge that most internationally recognized certification bodies provide. Additional 18 videos are added in June 2022 to cover the updated ASQ CSSGB BoK.Testimonials: What are other students saying about this course?I have taken multiple courses with Sandeep. Really amazing instructor; straight to the point, examples with each concept and most importantly covering all Body-of-Knowledge requirements. (5 stars ***** by Mohamed Khatib) Excelente curso y buen instructor, recomendable. (5 stars ***** by Ivan Sanchez Orozco) I actually took a relatively low-priced course before taking this course. And attempted a couple of mock tests, it was a disaster. I was quite lucky to come across this course later. I cleared my ASQ CSSGB with thumping confidence. During the entire course, I was amazed at the grip Mr. Sandeep had on each and every topic. He is making difference in the lives of a lot of professionals in enhancing their career prospects. A big thank you to him. (5 stars ***** by Mucheli Thulasirami Reddy (MTR)) Great Course !!! I have passed the IASSC- CSSGB exam on the first attempt. I would recommend this course who want to clear the CSSGB exam with confidence and on the first attempt (5 stars ***** by Sandeep Joshi) Covers everything there is to know about the ASQ Six Sigma Green Belt Body of Knowledge. (5 stars ***** by Josue Alcantara) It is a really good course. As I am preparing for ASQ CSSGB this course helps me a lot in preparation. (5 stars ***** by Neha Saste) Out of many courses available for LSSGB I find this to be best as on date to have a total grip over the entire curriculum. (5 stars ***** by Rajeev R Prasad) Passed my ASQ CSSGB at the first attempt by learning through this course, and reading the ASQ CSSGB Handbook (5 stars ***** by Sanni Rose Tumambing)Why this course?Learn Lean Six Sigma from an experienced instructor having 35 years of practical experience in implementing Quality Management and Continuous Performance Improvement.6,000+ satisfied students in the second release of this course. (and 14,000 students in the first release)This course fully aligns with the Lean Six Sigma Green Belt Body of Knowledge provided by most internationally recognized certification bodies. This course covers all you need to know as a Lean Six Sigma Green Belt - whether you want to take the CSSGB, LSSGB or any other certification exam or to become the Green Belt improvement leader in your organization.Quiz questions in each section. 150+ quiz questions are available.Are you appearing in a Certified Six Sigma Green Belt exam?You know the basics of Lean Six Sigma, but you get confused when it comes to statistics.You find concepts such as central limit theorem, probability distributions, hypothesis testing, and the design of experiments are too complex to understand.You wish someone could explain these to you without using complex terminology in plain and simple language.Does this sound familiar? Let me help you understand these concepts in plain and simple terms at such an affordable price.Why go for Six Sigma certification?Organizations implement Six Sigma to reduce cost, improve quality, reduce waste, improve consistency and improve customer satisfaction. After completing this course, you will be able to handle medium-sized improvement projects in your organization independently. In addition, you will be able to support a Black Belt in solving medium to highly complex problems.Topics covered: Here is a summary of the topics covered in this course.Overview: Six Sigma and the Organization Six sigma and organizational goalsLean principles in the organizationDesign for six sigma (DFSS) methodologiesDefine Phase Project identificationVoice of the customer (VOC)Project management basicsManagement and planning toolsBusiness results for projectsTeam dynamics and performanceMeasure Phase Process analysis and documentationProbability and statisticsStatistical distributionsCollecting and summarizing dataMeasurement system analysis (MSA)Process and performance capabilityAnalyze Phase Exploratory data analysisHypothesis testingImprove Phase Design of experiments (DOE)Root cause analysisLean ToolsControl Phase Statistical process control (SPC)Control planWhat are you waiting for?This course comes with Udemy's 30 days money-back guarantee. If you are not satisfied with the course, get your money back.I hope to see you in the course.Note: We are not a representative of ASQ , IASSC or any other certification organization.ASQ is the registered trademark of the American Society for Quality.IASSC is the registered trademark of the International Association for Six Sigma Certification.We are an independent training provider. We are neither associated nor affiliated with the certification organization(s) mentioned in our courses. The name and title of the certification exam mentioned in this course are the trademarks of the respective certification organization. We mention these names and/or the relevant terminologies only for describing the relevant exam processes and knowledge (i.e. Fair Use).

Overview
Section 1: 1. Overview: Six Sigma and the Organization

Lecture 1 1A1 Value of Six Sigma - Introduction

Lecture 2 1A1 Value of Six Sigma - Benefits of Six Sigma

Lecture 3 1A1 Value of Six Sigma - Six Sigma Philosophy

Lecture 4 1A1 Value of Six Sigma - Evolution of Six Sigma

Lecture 5 1A2 Organizational Goals and Six Sigma Projects - Selecting a Project

Lecture 6 1A2 Organizational Goals and Six Sigma Projects - Process

Lecture 7 1A3 Organizational Drivers and Metrics

Lecture 8 ASQ CSSGB 2022 Updates - SMART Goals

Lecture 9 ASQ CSSGB 2022 Updates - KPIs

Lecture 10 1B1 Lean Concepts - Introduction

Lecture 11 1B1 Lean Concepts - Philosophy

Lecture 12 1B1 Lean Concepts - Theory of Constraints (TOC)

Lecture 13 1B2 Value Stream Mapping (VSM)

Lecture 14 ASQ CSSGB 2022 Updates -Takt Time

Lecture 15 ASQ CSSGB 2022 Updates -Just In Time (JIT)

Lecture 16 ASQ CSSGB 2022 Updates - Gemba

Lecture 17 ASQ CSSGB 2022 Updates - Spaghatti Diagram

Lecture 18 1C1 Road map for Design for Six Sigma (DFSS)

Lecture 19 1C2&3 Failure Mode and Effects Analysis (FMEA) - Introduction

Lecture 20 1C2&3 FMEA - An Example

Lecture 21 1C2&3 FMEA - Summary

Lecture 22 ASQ CSSGB 2022 Updates - Verification and Validation

Lecture 23 Section 1: Download pdf Handouts - Six Sigma and the Organization

Section 2: 2. Define Phase

Lecture 24 2A1 Project Selection

Lecture 25 2A1 Project Selection

Lecture 26 2A2 Process Elements

Lecture 27 2A3 Benchmarking

Lecture 28 2A4 Process Inputs and Outputs (SIPOC)

Lecture 29 2A5 Owners and Stakeholders

Lecture 30 2B1 Voice of the Customer - Customer Identification

Lecture 31 2B2 Customer Data

Lecture 32 2B3 Customer Requirements

Lecture 33 2B3 Quality Function Deployment (QFD)

Lecture 34 ASQ CSSGB 2022 Updates - CTQ and CTX

Lecture 35 ASQ CSSGB 2022 Updates - Kano Model

Lecture 36 2C1 Project Management Basics - Project Charter

Lecture 37 2C2 Project Scope

Lecture 38 Minitab 18 - Plotting Pareto Charts

Lecture 39 2C3 Project Metrics

Lecture 40 2C4 Project Planning Tools - Gantt Chart

Lecture 41 2C4 Critical Path Method (CPM)

Lecture 42 2C4 Program Evaluation and Review Technique (PERT)

Lecture 43 2C5 Project Documentation

Lecture 44 2C6 Project Risk Analysis - Part 1

Lecture 45 2C6 Project Risk Analysis - Part 2

Lecture 46 2C7 Project Closure

Lecture 47 ASQ CSSGB 2022 Updates - WBS

Lecture 48 ASQ CSSGB 2022 Updates - Toll Gate Review

Lecture 49 ASQ CSSGB 2022 Updates - Risk Management Definition

Lecture 50 ASQ CSSGB 2022 Updates - Business Continuity Plan (BCP)

Lecture 51 2C 2022 SSGB Project Methodology

Lecture 52 2D Management and Planning Tools - 1. Affinity Diagrams

Lecture 53 2D Management and Planning Tools - 2. Interrelationship Digraphs

Lecture 54 2D Management and Planning Tools - 3. Tree Diagrams

Lecture 55 2D Management and Planning Tools - 4. Prioritization Matrices

Lecture 56 2D Management and Planning Tools - 5. Matrix Diagrams

Lecture 57 2D Management and Planning Tools - 6. Process Decision Program Charts (PDPC)

Lecture 58 2D Management and Planning Tools - 7. Activity Network Diagrams

Lecture 59 ASQ CSSGB 2022 Updates - SWOT Analysis

Lecture 60 2E1 Business Results for Project - Defects per Unit (DPU)

Lecture 61 2E1 Business Results for Project - Rolled Throughput Yield (RTY)

Lecture 62 2E1 Business Results for Project - Cost of Poor Quality

Lecture 63 2E1 Business Results for Project - DPMO and Sigma Levels

Lecture 64 2E1 Business Results for Project - Process Capability Indices

Lecture 65 2E2 Communication

Lecture 66 2F1 Team Stages - Tuckman's Stages of Team Development

Lecture 67 2F1 Team Negative Dynamics - Part 1

Lecture 68 2F1 Team Negative Dynamics - Part 2

Lecture 69 2F1 Team Negative Dynamics - Part 3

Lecture 70 2F2 Team Roles and Responsibilities - Part 1

Lecture 71 2F2 Team Roles and Responsibilities - Part 2

Lecture 72 2F3 Team Tools - Brainstorming

Lecture 73 2F3 Team Tools - Nominal Group Technique (NGT)

Lecture 74 2F3 Team Tools - Multivoting

Lecture 75 2F4 Team Communication

Lecture 76 ASQ CSSGB 2022 Updates - RACI Matrix

Lecture 77 Section 2: Download pdf Handouts - Define Phase

Section 3: 3. Measure Phase

Lecture 78 3 Introduction to Measure Phase

Lecture 79 3A Process Analysis and Documentation - Flow Charts

Lecture 80 3A Documentation

Lecture 81 3B1 Basic Probability Concepts - Part 1

Lecture 82 3B1 Basic Probability Concepts - Part 2

Lecture 83 3B1 Basic Probability Concepts - Part 3

Lecture 84 3B1 Basic Probability Concepts - Part 4

Lecture 85 3B1 Basic Probability Concepts - Part 5

Lecture 86 3B2 Central Limit Theorem - Part 1

Lecture 87 3B2 Central Limit Theorem - Part 2

Lecture 88 3C Statistical Distributions - Binomial Distribution - Part 1

Lecture 89 3C Binomial Distribution - Part 2

Lecture 90 3C Poisson Distribution - Part 1

Lecture 91 3C Poisson Distribution - Part 2

Lecture 92 3C Normal Distribution - Part 1

Lecture 93 3C Normal Distribution - Part 2

Lecture 94 3C Normal Distribution - Part 3

Lecture 95 3C Chi Square Distribution

Lecture 96 3C t Distribution

Lecture 97 3C F Distribution

Lecture 98 Minitab 18 - Introduction and Plotting Statistical Distributions

Lecture 99 3D1 Types of data - Continuous vs Discrete

Lecture 100 3D1 Measurement Scales - Nominal, Ordinal, Interval and Ratio

Lecture 101 3D2 Sampling - Introduction

Lecture 102 3D2 Probability Sampling

Lecture 103 3D2 Non-Probability Sampling

Lecture 104 3D2 Checksheets to Record Data

Lecture 105 3D2 Data Coding

Lecture 106 3D3 Descriptive Statistics - Central Tendency (Mean, Mode and Median)

Lecture 107 3D3 Measurements of Central Tendency - Quantile, Quartile and Percentile

Lecture 108 3D3 Measurements of Dispersion

Lecture 109 3D3 Frequency Distributions and Cumulative Frequency Distributions

Lecture 110 Minitab 18 - Descriptive Statistics

Lecture 111 3D4 Graphical Methods - Scatter Diagrams

Lecture 112 Minitab 18 - Scatter Diagrams

Lecture 113 3D4 Graphical Methods - Histogram

Lecture 114 Minitab 18 - Histogram

Lecture 115 3D4 Graphical Methods - Box and Whisker Plot

Lecture 116 Minitab 18 - Box and Whisker Plot

Lecture 117 3D4 Graphical Methods - Stem and Leaf Plot

Lecture 118 Minitab 18 - Stem and Leaf Plot

Lecture 119 3D4 Graphical Methods - Normal Probability Plots

Lecture 120 Minitab 18 - Normal Probability Plots

Lecture 121 ASQ CSSGB 2022 Updates - Data Collection Plan

Lecture 122 ASQ CSSGB 2022 Updates - Data Quality

Lecture 123 3E Measurement System Analysis (MSA) - Introduction

Lecture 124 3E MSA - Resolution

Lecture 125 3E - Accuracy (Bias, Linearity and Stability)

Lecture 126 3E - Precision (Repeatability and Reproducibility - Gage R&R)

Lecture 127 3E Precision to Tolerance Ratio (PTR)

Lecture 128 3F1 Process Performance vs Process specifications - Part 1

Lecture 129 3F1 Process Performance vs Process specifications - Part 2

Lecture 130 3F2 Process Capability Studies

Lecture 131 3F3 Process Capability and Process Performance - Introduction

Lecture 132 3F3 Four Conditions to Calculate Cp and Cpk

Lecture 133 3F3 Calculating Cp and Cpk

Lecture 134 3F3 Calculating Pp and Ppk

Lecture 135 3F4 Understanding the Use of Cpm

Lecture 136 Minitab 18 - Calculating Cp, Cpk, Pp, Ppk and Cpm

Lecture 137 3F4 - Short-term vs Long-term Capability and Sigma Shift (6 Sigma = 3.4 DPMO)

Lecture 138 Section 3: Download pdf Handouts - Measure Phase

Section 4: 4. Analyze Phase

Lecture 139 4A1 Exploratory Data Analysis - Multi-vari Studies - Introduction

Lecture 140 4A1 Positional and Cyclical Variation

Lecture 141 4A1 Temporal Variation explained using Minitab 18

Lecture 142 4A2 Correlation and Linear Regression - Introduction

Lecture 143 4A2 Calculating Correlation Coefficient

Lecture 144 4A2 Interpreting the Value of Correlation Coefficient

Lecture 145 4A2 Coefficient of Determination

Lecture 146 4A2 Correlation does not imply Causation

Lecture 147 4A2 Regression Analysis

Lecture 148 4A2 Demonstration of Ordinary Least Square (OLS) Method

Lecture 149 4A2 Calculating the Regression Equation

Lecture 150 4B1 Hypothesis Testing - Basics - Introduction

Lecture 151 4B1 Statistical vs Practical Significance

Lecture 152 4B1 Understanding the Null and Alternate Hypothesis

Lecture 153 4B1 Hypothesis Test Explained in Simple Terms

Lecture 154 4B1 Types of Errors in Hypothesis Testing

Lecture 155 4B1 Types of Errors - Summary

Lecture 156 4B1 Alpha vs Beta

Lecture 157 4B1 Hypothesis Test Explained

Lecture 158 4B1 Understanding Z Tables

Lecture 159 4B1 Understanding the p Value

Lecture 160 4B2 Tests for mean, variance, and proportions - Introduction

Lecture 161 4B2 One Sample z Test - Conditions

Lecture 162 4B2 One Sample z Test - Example 1

Lecture 163 4B2 One Sample z Test - Example 2

Lecture 164 4B2 Minitab 18 - One Sample z Test

Lecture 165 4B2 One Sample t Test - Conditions and Example

Lecture 166 4B2 Minitab 18 - One Sample t Test

Lecture 167 4B2 One Proportion Test - Conditions and Examples

Lecture 168 4B2 Minitab 18 - One Proportion Test

Lecture 169 4B2 One Variance Test - Introduction

Lecture 170 4B2 One Variance Test - Example 1

Lecture 171 4B2 One Variance Test - Example 2

Lecture 172 4B2 Minitab 18 - One Variance Test

Lecture 173 4B2 Two Sample z Test - Introduction and Conditions

Lecture 174 4B2 Two Sample z Test - Example

Lecture 175 4B2 Minitab 18 - Two Sample z Test

Lecture 176 4B2 Two Sample t Test - Conditions and Calculations

Lecture 177 4B2 Two Sample t Test - Example with Equal Variances

Lecture 178 4B2 Two Sample t Test - Example with Un-equal Variances

Lecture 179 4B2 Two Sample t Test - Visual Interpretation

Lecture 180 4B2 Minitab 18 - Two Sample t Test

Lecture 181 4B2 Paired t Test

Lecture 182 4B2 Minitab 18 - Paired t Test

Lecture 183 4B2 Two Proportions Test - Introduction and Conditions

Lecture 184 4B2 Two Proportions Test - Pooled and Unpooled Method

Lecture 185 4B2 Two Proportions Test - Example of Pooled Method

Lecture 186 4B2 Minitab 18 - Two Proportions Test

Lecture 187 4B2 Two Variances Test - Introduction and Example

Lecture 188 4B2 Minitab 18 - Two Variances Test

Lecture 189 4B2 ANOVA - Introduction

Lecture 190 4B2 Why ANOVA?

Lecture 191 4B2 Understanding the concept behind ANOVA - Variation within and between

Lecture 192 4B2 Statististics behind ANOVA

Lecture 193 4B2 Performing ANOVA using manual calculations

Lecture 194 4B2 Minitab 18 - One way ANOVA

Lecture 195 4B2 Goodness of Fit Test

Lecture 196 Minitab 18 - Goodness of Fit Test

Lecture 197 4B2 Contingency Tables

Lecture 198 4B2 Minitab 18 - Contingency Tables

Lecture 199 4C 2022 SSGB Gap Analysis

Lecture 200 Section 4: Download pdf Handouts - Analyze Phase

Section 5: 5. Improve Phase

Lecture 201 5 - Welcome to Improve Phase

Lecture 202 5A1 - Design of Experiments - Introduction

Lecture 203 5A1 - DoE Basic Terms - Part 1

Lecture 204 5A1 - DoE Basic Terms - Part 2

Lecture 205 5A1 - DoE Basic Terms - Part 3

Lecture 206 5A2 - DoE Graphs and Plots - Introduction

Lecture 207 5A2 - DoE Graphs and Plots - Interaction Chart

Lecture 208 5A2 - DoE Graphs and Plots - Equation

Lecture 209 5A2 - DoE Graphs and Plots - Equation with Interaction

Lecture 210 5B - Root Cause Analysis (RCA)

Lecture 211 5B 2022 SSGB Implementation Planning

Lecture 212 5C Lean Tools - Waste Elimination - Muda, Mura and Muri

Lecture 213 5C1 Waste Elimination - 8 Types of Muda - TIMWOODS

Lecture 214 5C1 Waste Elimination - Pull System

Lecture 215 5C1 Waste Elimination - Kanban

Lecture 216 5C1 Waste Elimination - 5S for Workplace Organization

Lecture 217 5C1 Waste Elimination - Standard Work and Poka-yoke

Lecture 218 5C2 Cycle-time Reduction - Continuous Flow

Lecture 219 5C2 Cycle-time Reduction - Setup Reduction (SMED)

Lecture 220 5C3 Kaizen and Kaizen Blitz

Lecture 221 ASQ CSSGB 2022 Updates - SMED

Lecture 222 Section 5: Download pdf Handouts - Improve Phase

Section 6: 6. Control Phase

Lecture 223 6A1 Statistical Process Control (SPC) Basics

Lecture 224 6A1 SPC Basics - Common Causes vs Special Causes

Lecture 225 6A2 Rational Subgrouping

Lecture 226 6A3 Control Charts - I-MR or X-MR Chart - Introduction

Lecture 227 Minitab 18 - I-MR Chart

Lecture 228 6A3 I-MR or X-MR Chart - Calculating Control Limits Using MS Excel

Lecture 229 6A3 Control Charts - Xbar R Chart

Lecture 230 Minitab 18 - Xbar R Chart

Lecture 231 6A3 Xbar R Chart - Calculating Control Limits Using MS Excel

Lecture 232 6A3 Control Charts - Xbar S Chart

Lecture 233 Minitab 18 - Xbar S Chart and Excel to Calculate Control Limits

Lecture 234 6A3 Control Charts - np Chart

Lecture 235 Minitab 18 - np Chart and Excel to Calculate Control Limits

Lecture 236 6A3 Control Charts - p Chart

Lecture 237 Minitab 18 - p Chart and Excel to Calculate Control Limits

Lecture 238 6A3 Control Charts - c Chart

Lecture 239 Minitab 18 - c Chart and Excel to Calculate Control Limits

Lecture 240 6A3 Control Charts - u Chart

Lecture 241 Minitab 18 - u Chart and Excel to Calculate Control Limits

Lecture 242 6A3 Analyzing Control Charts - Nelson Rules

Lecture 243 6A3 Minitab 18 - Nelson Rules

Lecture 244 6B Control Plan

Lecture 245 6B 2022 SSGB Sustain Improvements

Lecture 246 6C1 Total Preventive Maintenance (TPM)

Lecture 247 6C2 Visual Factory

Lecture 248 ASQ CSSGB 2022 Updates - Predictive Maintenance

Lecture 249 ASQ CSSGB 2022 Updates - Jidoka

Lecture 250 Section 6: Download pdf Handouts - Control Phase

Lecture 251 Download pdf Handouts for the Full Course

Section 7: BONUS SECTION

Lecture 252 BONUS LECTURE

Quality professionals appearing in CSSGB or LSSGB exam,Supervisors, Managers and professionals who want to implement Six Sigma process within an organization.,Quality Engineer

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