Certification training

Learning Six Sigma: Green Belt

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

94Lectures
11h 45m 24sDuration
Vendor
Learning Six Sigma: Green Belt course cover Best seller
certification training 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.

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Curriculum

Course sections.

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

01 Introduction to Six Sigma and Lean 19m 8s
02 Selecrt an Improvement Project 16m 9s

01 Muda, Mura and Muri (Types of Wastes) 8m
02 Eight Types of Wastes Explained 2m 48s
03 Types of Wastes Explained - Transport & Inventory 8m 22s
04 Types of Wastes Explained - Motion & Waiting 3m 31s
05 Types of Wastes Explained - Overprocessing and Overproduction 4m 19s
06 Types of Wastes Explained -Defects and Under-utilized Skills 4m 40s
07 Kaizen 14m 36s

01 Section Introduction 3m 55s
02 Business Organizations 4m 23s
03 Owners and Stakeholders 9m 6s
04 Identifying Customer 4m 17s
05 Collecting Customer Data 14m 47s
06 Analyzing Customer Data 4m 31s
07 Translate Customer Requirements - VoC and CTQ 6m 41s
08 Translate Customer Requirements - QFD 17m 38s

01 Project Planning Tools - Gantt Chart 3m 58s
02 Project Planning Tools - CPM and PERT 16m 3s
03 Project Charter and Problem Statement 8m 54s

01 Section Introduction 2m 5s
02 5 Stages All Teams Go Through 10m 17s
03 Team Tools - Brainstorming, NGT, Multi-voting Technique 14m 45s

01 Section Introduction 2m 30s
02 What is Statistics? 3m
03 Descriptive vs Inferential Statistics 4m
04 Descriptive Statistics 3m 28s
05 Calculating Mean 5m 51s
06 Calculating Median 3m 21s
07 Calculating Mode 1m 28s
08 Calculating Range 6m 34s
09 Calculating Standard Deviation 14m 27s
10 Histogram 4m 35s
11 Modality 4m 14s
12 Symmetry 7m 47s
13 Why to learn about Probability? 6m 49s
14 Definitions of Probability 7m 18s
15 Probability Related Terms 3m 55s
16 Union and Intersection 6m 16s
17 Mutually Exclusive, Independent and Complementary Events 6m 25s
18 Marginal, Union and Joint Probabilities 4m 9s
19 Addition Laws 4m 52s
20 Multiplication Laws 9m 3s
21 Factorial, Permulation and Combination 12m 12s
22 Central Limit Theorem 17m 2s

01 Section Introduction 1m 10s
02 Levels of Data - Nominal 3m 59s
03 Levels of Data - Ordinal 4m 59s
04 Levels of Data - Interval 3m 53s
05 Levels of Data - Ratio 3m 9s
06 Levels of Data - Summary of the topic 4m 6s
07 Calculating PPM, DPU, DPMO, RTY etc. 10m 48s

01 Section Introduction 2m 14s
02 Analyze Phase - Introduction 3m 14s
03 Discrete vs Continuous Variables 2m 58s
04 Binomial Distribution 16m 7s
05 Poisson Distribution 5m 31s
06 Discrete vs Continuous Distributions 7m 3s
07 Normal Distribution 14m 26s
08 Process Capability Basics 9m 8s
09 Process Capability Explained - Cp Cpk 17m 3s
10 1.5 Shift in Six Sigma DPMO Calculation 4m 24s

01 Section Introduction 3m 49s
02 Correlation and Regression - Introduction 6m 53s
03 Correlation and Regression - Draw a Scatter Diagram 4m 5s
04 Correlation and Regression - Coefficient of Correlation 19m 18s
05 Linear Regression 14m 14s
06 Hypothesis Testing - Introduction 3m 28s
07 Hypothesis Testing - Null and Alternate Hypothesis 12m 51s
08 Hypothesis Testing - Level of Confidence and Level of Significance 6m 14s
09 Hypothesis Testing - Types of Errors 9m 22s
10 Hypothesis Testing - Z Test Explained Visually 7m 42s
11 Hypothesis Testing - t Test Explained 15m 48s
12 Analysis of Variance - ANOVA 29m 41s

01 Section Introduction 1m 59s
02 Improve Phase - Introduction 1m 37s
03 Design of Experiments 19m 43s

01 Section Introduction 3m 10s
02 Control Phase - Introduction 2m 18s
03 Control Charts - Introduction and Types of Charts 14m 32s
04 Control Charts - X Bar R Chart - Detailed Calculations 13m 22s
05 Control Charts - X bar s, p, np, c and u charts 6m 47s
06 Control Charts - Interpreting Charts 6m 29s

01 About Edwards Deming 2m 21s
02 Edwards Deming is best known for 3m 11s
03 Quality Chain by Deming 1m 52s
04 Deming's Fourteen Points for Management (Part 1) 8m 30s
05 Deming's Fourteen Points for Management (Part 2) 11m 18s
06 About Joseph Juran 1m 10s
07 Joseph Juran is best known for 1m 44s
08 Quality Trilogy 4m 1s
09 About Philip Crosby 1m 8s
10 Philip Crosby is best known for 1m 45s
11 Four Absolutes of Quality 8m 41s
Continue preparing

Connect the lessons to exam-day practice.

Use the course for structured review, then move into current questions, timed simulator sessions, and a broader vendor catalog.