Srbija Posted August 16, 2023 Share #1 Posted August 16, 2023 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 Homepage Hidden Content Give reaction to this post to see the hidden content. 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