• Length:
    8 Weeks
  • Effort:
    3–4 hours per week
  • Price:

    FREE
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  • Institution
  • Subject:
  • Level:
    Introductory
  • Language:
    English
  • Video Transcript:
    English

Prerequisites

This course reviews basic statistics used in Six Sigma and quality management, applying them to quality problems and methods. Therefore, basic math skills are necessary.

About this course

Skip About this course

Learn how to statistically analyze 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 and Failure Modes and Effects Analysis to reduce risk and manage process deviations.

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.

Upon successful completion of this program, learners will earn the TUM Lean and Six Sigma Yellow Belt certification, confirming mastery of Lean Six Sigma fundamentals to a Yellow Belt level. The material is based on the American Society of Quality (www.asq.org) Body of Knowledge up to a Green Belt Level. The Professional Certificate is designed as preparation for a Lean Six Sigma Green Belt exam.

What you'll learn

Skip What you'll learn
  • To identify process problems and perform a root cause analysis using cause and effect diagrams and then performing a regression analysis.
  • To analyse data using inferential statistical techniques, including confidence intervals and hypothesis testing.
  • To test and quantitatively assess the impact of different improvement options using a design of experiment.
  • To test for the significance of effects using an analysis of variacne.
  • To implement control mechanisms for long-term monitoring using control charts for both quantitative and qualitative measurements.
  • To apply the Six Sigma methodology for the Analyse, Improve and Control phases in your work or research.
Week 1: ANALYZE - Root Cause Analysis
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 - Inferential Statistics

Learn the inferential statistics techniques of confidence intervals and hypothesis testing in order to use sample data and draw conclusions about or process centering.
 
Week 3: IMPROVE - Design of Experiments
Plan designed experiments and calculate the main and interaction effects.
 
Week 4: MEASURE - Analysis of Variance
Review how to perform one-way  Analysis of Variance (ANOVA) for comparing the between-factor variaion to the within-factor variaion for a single factor experiment.
Use a two-way ANOVA for testing the significance of the factor effects for a 2x2 DOE.

Week 5: CONTROL - SPC and Control Charts
Implement Statistical Process Control (SPC) & Control Chart Theory for monitoring process data and distinguishing between common cause variation and assignable cause variation. Construct X-bar and R Charts by calculating the upper and lower control limits and the center line.
 
Week 6: CONTROL - Other Control Charts
Understand other control charts, including p-and c-charts and I/MR, and EWMA Charts and review of the Control and Reponse Plan for Six Sigma projects.
 
Week 7: Quality Tools: FMEA, 8D, 5 Whys
Use several important tools used in quality management, including the 8 Disciplines (8D) and 5 Whys, and learn the concept behind Design for Six Sigma (DFSS).
 
Week 8: Six Sigma Scenario and Course Summary
Step through a full Six Sigma scenario, covering all phases of the DMAIC process improvement cycle.

Meet your instructors

Martin Grunow
Professor of Production and Supply Chain Management
Technische Universität München
Holly Ott
Senior Lecturer in Operations Management
Technische Universität München

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Learner testimonials

“I did not have any prior knowledge of Quality Management but have always known the value, importance, and job demand related to this topic. I am very glad that i enrolled for this course, although i have to put little extra efforts and time to understand the material but i am very thankful to Dr. Holly Ott for her special teaching skills to explain every topic in a simple way and with practical examples. I also appreciate the guest speakers and their expertise in the subject. I plan to complete all the three courses of this certificate program as soon as i can. I am into my very first course and within couple of weeks i was motivated to look into CSSGB (Certified Six Sigma Green Belt), as I know CSSGB is going to be very useful for professional advancement. I believe if i understand these three Quality Management courses my foundation to study for CSSGB with be solid. My Humble Gratitude to the entire MOOC team and EdX team and many more who are behind the scene to provide us best education from the top most educational institutes.” --Asha Grover

"This is my second time around using statistics. In Define and Measure I was able to learn how to apply statistics to define problems in in factories and industries. And the ability to measure the results to start an improvement process. I love the instructors who lectured the course. They all have such a breadth of knowledge. My goal after completing this series is to get certified through ASQ to get my Green Belt. I feel confident that this series will lead to that goal.” --Previous student

“If you are new to Six Sigma like me, this course will greatly expand your skills and knowledge. The course includes many examples, practical exercises, real life case studies, and guest lecturers. These help to reinforce concepts, apply the math, and master the topics.” --David Rozene

“One of the best online course for 6 sigma. This course has helped me professionally as well as personally, whether taking a decision or solving a problem raised. 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 clearly by the staff, who promptly reply to every query posted. Thank you everyone who structured this course as is and my best wishes for your future endeavors.” --Murali Dhepalli

Frequently asked questions

Who offers this program?
The Professional Certificate Program Six Sigma and Lean: Quantitative Tools for Quality and Productivity is offered by edX and the Technical University of Munich (TUM). 

How many courses are in the program?
There are three courses in this program:
Course 1 QPLS1x - Six Sigma: Define and Measure
Course 2 QPLS2x - Six Sigma: Analyze, Improve, Control
Course 3 QPLS3x - Lean Production

 
Do I need to take the courses in order? 
The courses should be completed sequentially, but it is not required that they be completed in any particular order. However, as Course 2 QPLS2x - Six Sigma: Analyze, Improve, Control builds on the material in Course 1 QPLS1x - Six Sigma: Define and Measure, we strongly recommend that you take QPLS1x before you take QPLS2x.
 
Which certification do I earn for this course? 
You will earn the Verified Certificate for Course 2 QPLS2x - Six Sigma: Analyze, Improve, Control.
 
What certificates do I earn with this program?
Upon successful completion of this program, learners will earn both the edX Professional Certificate for the program and the TUM Lean Six Sigma Yellow Belt certification. In order to achieve the TUM Lean Six Sigma Yellow Belt Certification it is mandatory to complete all 3 courses in the program and achieve a Verified Certificate in each. Then, automatically, you will earn the edX Professional Certificateand the TUM Lean Six Sigma Yellow Belt certification.
The TUM LSSYB is based on the American Society of Quality (www.asq.org) Body of Knowledge up to a Green Belt Level. The Professional Certificate is designed as preparation for a Lean Six Sigma Green Belt exam.

 
What is the passing grade for the course? 
An overall average for all homework sets and peer-review assignments of 70% is required to pass the course.

Do I need to achieve 70% on each homework? 
No, you need an average grade for all homework sets and peer-review assignments of 70%. This means you can do poorly or miss a homework set as long as you do well enough on other homework sets to achieve 70% overall.
 
How do I receive the edX Professional Certificate for this program? 
The Professional Certificate will be available from your dashboard after the end of the course.

How do I receive the TUM Lean Six Sigma Yellow Belt Certification for this program? 
The TUM Executive Education Center will issue the Yellow Belt Certification by email three times a year:
-- For those finishing all courses by October 31, 2019, you will receive your certificate before November 31, 2019.
-- For those finishing all courses by February 28, 2020, you will receive your certificate before March 31, 2020.
-- For those finishing all courses by June 30, 2020, you will receive your certificate before July 31, 2020. 
(Note: If you do not receive a certificate within 1 month of these deadlines, please send an email to the course email: [email protected])