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# Six Sigma: Analyse, Improve, Control

2018
students interested
• Provider edX
• \$ Cost Free Online Course
• Session Self Paced
• Language English
• Certificate \$88 Certificate Available
• Effort 3-4 hours a week
• Start Date
• Duration 8 weeks long

Taken this course? Share your experience with other students. Write review

## Overview

Learn how to analyse data with the Six Sigma methodology using inferential statistical techniques to determine confidence intervals and to test hypotheses based on sample data. You will also review cause and effect techniques for root cause analysis.

You will learn how to perform correlation and regression analyses in order to confirm the root cause and understand how to improve your process and plan designed experiments.

You will learn how to implement statistical process control using control charts and quality management tools, including the 8 Disciplines, 5 Whys, and Failure Modes and Effects Analysis (FMEA) to manage process deviation and reduce risk.

To complement the lectures, learners are provided with interactive exercises, which allow learners to see the statistics "in action." Learners then master the statistical concepts by completing practice problems. These are then reinforced using interactive case-studies, which illustrate the application of the statistics in quality improvement situations. A full Six-Sigma scenario is presented to step you through a full project.

Upon successful completion of this program, learners will earn the Technical University of Munich Lean Six Sigma Yellow Belt Certification, confirming mastery of the fundamentals of Lean Six Sigma to a Yellow Belt level, based on the American Society of Quality's Body of Knowledge for the Certified Six Sigma Yellow Belt.

## Syllabus

Week 1: ANALYZE - Inferential Statistics
Review of the Six Sigma Methodology and the DMAIC process improvement cycle and introduction to methods for root cause analysis, including Cause and Effect (Fishbone diagrams) and Pareto Charts. We learn how to perform statistical correlations and regression analyses.

Week 2: ANALYZE - Regression and Correlation
Perform the inferential statistics techniques of confidence intervals and hypothesis testing in order to use sample data and draw conclusions about process centering.

Week 3: IMPROVE - Design of Experiments
Plan designed experiments and calculate the main and interaction effects in order to design a process improvement.

Week 4: MEASURE - Analysis of Variance
Test the significance of experimental results using an analysis of variance.

Week 5: CONTROL - SPC and Control Charts
Cover Statistical Process Control & Control Chart Theory and construct X-bar and R Charts for long term parameter monitoring and control.

Week 6: CONTROL - Control Charts Introduction
Review other control charts, including p-and C- charts and I/MR, and EWMA Charts and the Control and Reponse Plan for Six Sigma projects.

Week 7: Quality Tools: FMEA, 8D, 5 Whys
Introduce several important tools used in process deviations, including Failure Modes and Effects Analysis, 8 Disciplines and 5 Whys, as well as discuss techniques for Design for Six Sigma (DFSS).

Week 8: Six Sigma Scenario
Follow a full Six-Sigma project with a Master Black Belt, implementing all phases of the DMAIC process improvement cycle.

#### Taught by

Martin Grunow and Holly Ott

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## Reviews for edX's Six Sigma: Analyse, Improve, Control 5.0 Based on 4 reviews

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• 4 star 0%
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Did you take this course? Share your experience with other students.

• 1
Murali K
5.0 7 months ago
completed this course, spending 5 hours a week on it and found the course difficulty to be medium.
One of the best online course to learn the concept of Six sigma. This course has helped me professionally as well as personally, whether taking a decision or solving a problem a raised.

Every lecture were very well articulated, elaborately explained with proper usage of tools and most importantly usage of formulae & examples for numerical problem solving. Discussion forum to share and learn from your peers and getting your doubts cleared by the staff, who promptly reply to every query posted. And the icing on the cake was by Mr. Reiner Hutwelker, who summarized the six sigma stages elaborately in week 8 lectures. Sigma guide is awesome!

Thank you everyone who structured this course as is and my best wishes for your future endeavors.
Olga F
5.0 7 months ago
completed this course, spending 5 hours a week on it and found the course difficulty to be medium.
It has been a very interesting course. Lessons are well-structure and very completed to know how to apply DMAIC for processes. Although I have worked as a quality engineer, I never used some of the tools here explained (it depends on how updated/lean the industrial sector is). So, I am completely satisfied with this course and indeed, I will make use of this methodology to work through lean sig sigma from now on. Also thanks to Pr. Holly Ott from her great explanations and preparation of the lessons. Olga Campo. Spain
5.0 5 months ago
completed this course, spending 5 hours a week on it and found the course difficulty to be medium.
Prof Holly,

I am happy to inform you that I have now passed the Green Belt certification of ASQ . Waiting for the certificate to arrive.

Even though my experience span over 27 yrs in the industry, I could not formally get educated in the Six Sigma BOK. Your course helped me a lot in this regard. Many thanks to you , Prof Zubair and to your entire team of this course.

Thank You once again
José C
5.0 11 months ago
by completed this course, spending 5 hours a week on it and found the course difficulty to be medium.
Excellent continuation for the first course.

Holly Ott is a great teacher that makes you understand every single topic.

Can't wait to start the final course of this specialization.

Totally recommended!