SSGB: Six Sigma Green Belt

SSGB: Six Sigma Green Belt

BEST SELLER 94 Lectures 11h 58m 13s

Prepare for your Microsoft examination with our training course. The No_code course contains a complete batch of videos that will provide you with profound and thorough knowledge related to Microsoft certification exam. Pass the Microsoft No_code test with flying colors.

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Curriculum For This Course

2 lectures 35m 58s
  • 1. Introduction to Six Sigma and Lean
    19m 25s
  • 2. Selecrt an Improvement Project
    16m 33s

7 lectures 48m 12s
  • 1. Muda, Mura and Muri (Types of Wastes)
    8m 17s
  • 2. Eight Types of Wastes Explained
    3m 5s
  • 3. Types of Wastes Explained - Transport & Inventory
    8m 38s
  • 4. Types of Wastes Explained - Motion & Waiting
    3m 47s
  • 5. Types of Wastes Explained - Overprocessing and Overproduction
    4m 36s
  • 6. Types of Wastes Explained -Defects and Under-utilized Skills
    4m 56s
  • 7. Kaizen
    14m 53s

8 lectures 1h 6m 22s
  • 1. Section Introduction
    4m 12s
  • 2. Business Organizations
    4m 29s
  • 3. Owners and Stakeholders
    9m 12s
  • 4. Identifying Customer
    4m 27s
  • 5. Collecting Customer Data
    14m 53s
  • 6. Analyzing Customer Data
    4m 37s
  • 7. Translate Customer Requirements - VoC and CTQ
    6m 48s
  • 8. Translate Customer Requirements - QFD
    17m 44s

3 lectures 29m 13s
  • 1. Project Planning Tools - Gantt Chart
    4m 4s
  • 2. Project Planning Tools - CPM and PERT
    16m 9s
  • 3. Project Charter and Problem Statement
    9m

3 lectures 27m 35s
  • 1. Section Introduction
    2m 21s
  • 2. 5 Stages All Teams Go Through
    10m 23s
  • 3. Team Tools - Brainstorming, NGT, Multi-voting Technique
    14m 51s

22 lectures 2h 21m 41s
  • 1. Section Introduction
    2m 47s
  • 2. What is Statistics?
    3m 6s
  • 3. Descriptive vs Inferential Statistics
    4m 6s
  • 4. Descriptive Statistics
    3m 34s
  • 5. Calculating Mean
    5m 57s
  • 6. Calculating Median
    3m 27s
  • 7. Calculating Mode
    1m 34s
  • 8. Calculating Range
    6m 40s
  • 9. Calculating Standard Deviation
    14m 33s
  • 10. Histogram
    4m 40s
  • 11. Modality
    4m 19s
  • 12. Symmetry
    7m 53s
  • 13. Why to learn about Probability?
    6m 55s
  • 14. Definitions of Probability
    7m 24s
  • 15. Probability Related Terms
    4m 1s
  • 16. Union and Intersection
    6m 23s
  • 17. Mutually Exclusive, Independent and Complementary Events
    6m 31s
  • 18. Marginal, Union and Joint Probabilities
    4m 15s
  • 19. Addition Laws
    4m 59s
  • 20. Multiplication Laws
    9m 10s
  • 21. Factorial, Permulation and Combination
    12m 19s
  • 22. Central Limit Theorem
    17m 8s

7 lectures 33m 6s
  • 1. Section Introduction
    1m 26s
  • 2. Levels of Data - Nominal
    4m 5s
  • 3. Levels of Data - Ordinal
    5m 5s
  • 4. Levels of Data - Interval
    3m 59s
  • 5. Levels of Data - Ratio
    3m 15s
  • 6. Levels of Data - Summary of the topic
    4m 12s
  • 7. Calculating PPM, DPU, DPMO, RTY etc.
    11m 4s

10 lectures 1h 23m 19s
  • 1. Section Introduction
    2m 30s
  • 2. Analyze Phase - Introduction
    3m 21s
  • 3. Discrete vs Continuous Variables
    3m 4s
  • 4. Binomial Distribution
    16m 13s
  • 5. Poisson Distribution
    5m 37s
  • 6. Discrete vs Continuous Distributions
    7m 9s
  • 7. Normal Distribution
    14m 32s
  • 8. Process Capability Basics
    9m 14s
  • 9. Process Capability Explained - Cp Cpk
    17m 9s
  • 10. 1.5 Shift in Six Sigma DPMO Calculation
    4m 30s

12 lectures 2h 14m 49s
  • 1. Section Introduction
    4m 6s
  • 2. Correlation and Regression - Introduction
    6m 59s
  • 3. Correlation and Regression - Draw a Scatter Diagram
    4m 11s
  • 4. Correlation and Regression - Coefficient of Correlation
    19m 24s
  • 5. Linear Regression
    14m 19s
  • 6. Hypothesis Testing - Introduction
    3m 34s
  • 7. Hypothesis Testing - Null and Alternate Hypothesis
    12m 57s
  • 8. Hypothesis Testing - Level of Confidence and Level of Significance
    6m 20s
  • 9. Hypothesis Testing - Types of Errors
    9m 28s
  • 10. Hypothesis Testing - Z Test Explained Visually
    7m 48s
  • 11. Hypothesis Testing - t Test Explained
    15m 54s
  • 12. Analysis of Variance - ANOVA
    29m 49s

3 lectures 23m 48s
  • 1. Section Introduction
    2m 16s
  • 2. Improve Phase - Introduction
    1m 43s
  • 3. Design of Experiments
    19m 49s

6 lectures 47m 25s
  • 1. Section Introduction
    3m 26s
  • 2. Control Phase - Introduction
    2m 24s
  • 3. Control Charts - Introduction and Types of Charts
    14m 39s
  • 4. Control Charts - X Bar R Chart - Detailed Calculations
    13m 28s
  • 5. Control Charts - X bar s, p, np, c and u charts
    6m 53s
  • 6. Control Charts - Interpreting Charts
    6m 35s

11 lectures 46m 45s
  • 1. About Edwards Deming
    2m 27s
  • 2. Edwards Deming is best known for
    3m 16s
  • 3. Quality Chain by Deming
    1m 58s
  • 4. Deming's Fourteen Points for Management (Part 1)
    8m 36s
  • 5. Deming's Fourteen Points for Management (Part 2)
    11m 24s
  • 6. About Joseph Juran
    1m 16s
  • 7. Joseph Juran is best known for
    1m 50s
  • 8. Quality Trilogy
    4m 6s
  • 9. About Philip Crosby
    1m 14s
  • 10. Philip Crosby is best known for
    1m 51s
  • 11. Four Absolutes of Quality
    8m 47s

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