Certified Six Sigma Yellow Belt

Course Curriculum

Chapter 1: Introduction

Lecture 1: What is Six Sigma

Lecture 2: Introduction to DMAIC

Lecture 3: Key Roles and Executives and Champions

Chapter 2: Key Concept in Six Sigma

Lecture 1: Quality Metrics

Lecture 2: Variation and the Normal Curve

Lecture 3: Defects per Million Opportunities

Chapter 3: Selection of Six Sigma Projects

Lecture 1: Identify Projects

Lecture 2: Selecting a Six Sigma Project

Chapter 4: Define Phase

Lecture 1: Steps in the Define Phase

Lecture 2: Problem and Goal Statements

Lecture 3: Completing the Project Charter

Chapter 5: Measure Phase

Lecture 1: Steps in the Measure Phase

Lecture 2: How to Map the Current Progress

Lecture 3: Plan for Data Collection

Lecture 4: Types of Data and Graphs

Lecture 5: Measurement System Analysis

Lecture 6: Process Capability and Sigma Level

Chapter 6: Analyse Phase

Lecture 1: 1. Steps in the Analyse Phase

Lecture 2: 2. How to use the cause-effect diagram

Lecture 3: 3. Introduction to hypothesis testing

Lecture 4: 4. Data collection in the analyse phase

Lecture 5: 5. How to analyse graphs and charts

Lecture 6: 6. How to analyse process maps

Chapter 7: Improve Phase

Lecture 1: 1. Steps in the improve phase

Lecture 2: 2. Generate, evaluate and select solutions

Lecture 3: 3. Reduce the risk of failure through FMEA

Lecture 4: 4. Mistake proofing

Lecture 5: 5. Pilot test and implement

Chapter 8: Control Phase

Lecture 1: 1. Steps in the control phase

Lecture 2: 2. How to use SPC charts

Lecture 3: 3. The Control Plan

Chapter 9: Lean Six Sigma

Lecture 1: Introduction

Lecture 2: Lean

Lecture 3: Six Sigma

Lecture 4: Lean Six Sigma

Chapter 10: Lean Six Sigma Define Phase

Lecture 1: Overview

Lecture 2: Project Charter

Lecture 3: SIPOC

Lecture 4: VOC and CTQ

Lecture 5: Cost of Poor Quality

Chapter 11: Lean Six Sigma Analyse Phase

Lecture 1: Lean Six Sigma Analyse Phase Overview

Lecture 2: Value Stream Analysis

Lecture 3: Cause Effect Diagrams

Lecture 4: Multi Voting

Lecture 5: Five Whys

Lecture 6: Introduction to Hypothesis Testing

Lecture 7: Analyse Phase Data Collection Planning

Lecture 8: Graphical and Data Analysis

Lecture 9: Scatter Plots, Correlation and Regression

Chapter 12: Lean Six Sigma Improve Phase

Lecture 1: Lean Six Sigma Improve Phase Overview

Lecture 2: FMEA

Lecture 3: Error Proofing or Poka Yoke

Lecture 4: Concept of 5S

Lecture 5: Just In Time

Lecture 6: Kaizen

Lecture 7: Criteria Selection Matrix

Lecture 8: Pugh Matrix

Chapter 13: Lean Six Sigma Control Phase

Lecture 1: Lean Six Sigma Control Phase Overview

Lecture 2: Process Control Plan

Lecture 3: Statistical Process Control

Lecture 4: Value Stream Management

Lecture 5: Next Steps