1

What is Six Sigma?

2

Six Sigma History and Application

3

Lean Concepts

4

Basic Six Sigma Concepts

5

Approaching the Problem

6

What is a Process?

7

Quality

8

Selecting the Right Projects

9

Basic Six Sigma Team Management

10

Introduction to DMAIC and DMADV

11

Intermediate Graphical Analysis

12

Normal Probability Distributions

13

Correlation and Regression

14

Non-Normal Probability Distributions

15

Hypothesis Testing

16

Advanced Control Charts

17

Applying Statistics to Business Applications through Six Sigma

18

Introduction to Minitab

19

Define, Measure, Analyse, Improve, Control

20

Graphs and Quality Tools in Minitab

21

The Stat Menu in Minitab

22

Analysis of Variance (1-Way ANOVA)

23

Design of Experiments

24

Interactions, Multi-Level Factorials, and Creating Experiments

25

Brainstorming and Process Improvement Tools

26

Process Maps

27

Value Stream Mapping