SSGB: Six Sigma Green Belt
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Curriculum For This Course
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1. Introduction to Six Sigma and Lean19m 25s
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2. Selecrt an Improvement Project16m 33s
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1. Muda, Mura and Muri (Types of Wastes)8m 17s
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2. Eight Types of Wastes Explained3m 5s
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3. Types of Wastes Explained - Transport & Inventory8m 38s
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4. Types of Wastes Explained - Motion & Waiting3m 47s
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5. Types of Wastes Explained - Overprocessing and Overproduction4m 36s
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6. Types of Wastes Explained -Defects and Under-utilized Skills4m 56s
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7. Kaizen14m 53s
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1. Section Introduction4m 12s
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2. Business Organizations4m 29s
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3. Owners and Stakeholders9m 12s
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4. Identifying Customer4m 27s
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5. Collecting Customer Data14m 53s
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6. Analyzing Customer Data4m 37s
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7. Translate Customer Requirements - VoC and CTQ6m 48s
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8. Translate Customer Requirements - QFD17m 44s
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1. Project Planning Tools - Gantt Chart4m 4s
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2. Project Planning Tools - CPM and PERT16m 9s
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3. Project Charter and Problem Statement9m
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1. Section Introduction2m 21s
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2. 5 Stages All Teams Go Through10m 23s
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3. Team Tools - Brainstorming, NGT, Multi-voting Technique14m 51s
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1. Section Introduction2m 47s
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2. What is Statistics?3m 6s
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3. Descriptive vs Inferential Statistics4m 6s
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4. Descriptive Statistics3m 34s
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5. Calculating Mean5m 57s
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6. Calculating Median3m 27s
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7. Calculating Mode1m 34s
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8. Calculating Range6m 40s
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9. Calculating Standard Deviation14m 33s
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10. Histogram4m 40s
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11. Modality4m 19s
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12. Symmetry7m 53s
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13. Why to learn about Probability?6m 55s
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14. Definitions of Probability7m 24s
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15. Probability Related Terms4m 1s
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16. Union and Intersection6m 23s
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17. Mutually Exclusive, Independent and Complementary Events6m 31s
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18. Marginal, Union and Joint Probabilities4m 15s
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19. Addition Laws4m 59s
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20. Multiplication Laws9m 10s
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21. Factorial, Permulation and Combination12m 19s
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22. Central Limit Theorem17m 8s
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1. Section Introduction1m 26s
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2. Levels of Data - Nominal4m 5s
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3. Levels of Data - Ordinal5m 5s
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4. Levels of Data - Interval3m 59s
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5. Levels of Data - Ratio3m 15s
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6. Levels of Data - Summary of the topic4m 12s
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7. Calculating PPM, DPU, DPMO, RTY etc.11m 4s
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1. Section Introduction2m 30s
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2. Analyze Phase - Introduction3m 21s
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3. Discrete vs Continuous Variables3m 4s
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4. Binomial Distribution16m 13s
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5. Poisson Distribution5m 37s
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6. Discrete vs Continuous Distributions7m 9s
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7. Normal Distribution14m 32s
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8. Process Capability Basics9m 14s
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9. Process Capability Explained - Cp Cpk17m 9s
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10. 1.5 Shift in Six Sigma DPMO Calculation4m 30s
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1. Section Introduction4m 6s
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2. Correlation and Regression - Introduction6m 59s
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3. Correlation and Regression - Draw a Scatter Diagram4m 11s
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4. Correlation and Regression - Coefficient of Correlation19m 24s
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5. Linear Regression14m 19s
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6. Hypothesis Testing - Introduction3m 34s
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7. Hypothesis Testing - Null and Alternate Hypothesis12m 57s
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8. Hypothesis Testing - Level of Confidence and Level of Significance6m 20s
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9. Hypothesis Testing - Types of Errors9m 28s
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10. Hypothesis Testing - Z Test Explained Visually7m 48s
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11. Hypothesis Testing - t Test Explained15m 54s
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12. Analysis of Variance - ANOVA29m 49s
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1. Section Introduction2m 16s
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2. Improve Phase - Introduction1m 43s
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3. Design of Experiments19m 49s
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1. Section Introduction3m 26s
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2. Control Phase - Introduction2m 24s
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3. Control Charts - Introduction and Types of Charts14m 39s
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4. Control Charts - X Bar R Chart - Detailed Calculations13m 28s
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5. Control Charts - X bar s, p, np, c and u charts6m 53s
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6. Control Charts - Interpreting Charts6m 35s
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1. About Edwards Deming2m 27s
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2. Edwards Deming is best known for3m 16s
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3. Quality Chain by Deming1m 58s
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4. Deming's Fourteen Points for Management (Part 1)8m 36s
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5. Deming's Fourteen Points for Management (Part 2)11m 24s
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6. About Joseph Juran1m 16s
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7. Joseph Juran is best known for1m 50s
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8. Quality Trilogy4m 6s
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9. About Philip Crosby1m 14s
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10. Philip Crosby is best known for1m 51s
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11. Four Absolutes of Quality8m 47s
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