Certification training

No_codeSSGB: Six Sigma Green Belt

Prepare for your Microsoft exam with a structured video course built for focused study, topic review, and repeatable progress before exam day.

94Lectures
11h 58m 13sDuration
MicrosoftVendor
SSGB: Six Sigma Green Belt course cover Best seller
Microsoft certification training No_code 94 lessons arranged in a guided course path
Course overview

Study with a clear path.

Move through focused sections, review lecture timing, and return directly to the objectives that need more work.

Sequenced lessons

Follow the course in order or jump directly to the section you need to revisit.

Video-first prep

Use concise lecture blocks for technical review before moving into exam practice.

Fast access

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Curriculum

Course sections.

12 sections, 94 lessons, and lecture-level duration details.

01 Introduction to Six Sigma and Lean 19m 25s
02 Selecrt an Improvement Project 16m 33s

01 Muda, Mura and Muri (Types of Wastes) 8m 17s
02 Eight Types of Wastes Explained 3m 5s
03 Types of Wastes Explained - Transport & Inventory 8m 38s
04 Types of Wastes Explained - Motion & Waiting 3m 47s
05 Types of Wastes Explained - Overprocessing and Overproduction 4m 36s
06 Types of Wastes Explained -Defects and Under-utilized Skills 4m 56s
07 Kaizen 14m 53s

01 Section Introduction 4m 12s
02 Business Organizations 4m 29s
03 Owners and Stakeholders 9m 12s
04 Identifying Customer 4m 27s
05 Collecting Customer Data 14m 53s
06 Analyzing Customer Data 4m 37s
07 Translate Customer Requirements - VoC and CTQ 6m 48s
08 Translate Customer Requirements - QFD 17m 44s

01 Project Planning Tools - Gantt Chart 4m 4s
02 Project Planning Tools - CPM and PERT 16m 9s
03 Project Charter and Problem Statement 9m

01 Section Introduction 2m 21s
02 5 Stages All Teams Go Through 10m 23s
03 Team Tools - Brainstorming, NGT, Multi-voting Technique 14m 51s

01 Section Introduction 2m 47s
02 What is Statistics? 3m 6s
03 Descriptive vs Inferential Statistics 4m 6s
04 Descriptive Statistics 3m 34s
05 Calculating Mean 5m 57s
06 Calculating Median 3m 27s
07 Calculating Mode 1m 34s
08 Calculating Range 6m 40s
09 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

01 Section Introduction 1m 26s
02 Levels of Data - Nominal 4m 5s
03 Levels of Data - Ordinal 5m 5s
04 Levels of Data - Interval 3m 59s
05 Levels of Data - Ratio 3m 15s
06 Levels of Data - Summary of the topic 4m 12s
07 Calculating PPM, DPU, DPMO, RTY etc. 11m 4s

01 Section Introduction 2m 30s
02 Analyze Phase - Introduction 3m 21s
03 Discrete vs Continuous Variables 3m 4s
04 Binomial Distribution 16m 13s
05 Poisson Distribution 5m 37s
06 Discrete vs Continuous Distributions 7m 9s
07 Normal Distribution 14m 32s
08 Process Capability Basics 9m 14s
09 Process Capability Explained - Cp Cpk 17m 9s
10 1.5 Shift in Six Sigma DPMO Calculation 4m 30s

01 Section Introduction 4m 6s
02 Correlation and Regression - Introduction 6m 59s
03 Correlation and Regression - Draw a Scatter Diagram 4m 11s
04 Correlation and Regression - Coefficient of Correlation 19m 24s
05 Linear Regression 14m 19s
06 Hypothesis Testing - Introduction 3m 34s
07 Hypothesis Testing - Null and Alternate Hypothesis 12m 57s
08 Hypothesis Testing - Level of Confidence and Level of Significance 6m 20s
09 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

01 Section Introduction 2m 16s
02 Improve Phase - Introduction 1m 43s
03 Design of Experiments 19m 49s

01 Section Introduction 3m 26s
02 Control Phase - Introduction 2m 24s
03 Control Charts - Introduction and Types of Charts 14m 39s
04 Control Charts - X Bar R Chart - Detailed Calculations 13m 28s
05 Control Charts - X bar s, p, np, c and u charts 6m 53s
06 Control Charts - Interpreting Charts 6m 35s

01 About Edwards Deming 2m 27s
02 Edwards Deming is best known for 3m 16s
03 Quality Chain by Deming 1m 58s
04 Deming's Fourteen Points for Management (Part 1) 8m 36s
05 Deming's Fourteen Points for Management (Part 2) 11m 24s
06 About Joseph Juran 1m 16s
07 Joseph Juran is best known for 1m 50s
08 Quality Trilogy 4m 6s
09 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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