Intro to Data Analysis
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Intro to Data Analysis
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edX: Six Sigma: Define and Measure

Understand the background and meaning of Six Sigma and the five steps of the DMAIC process improvement flow: Define, Measure, Analyse, Improve and Control. Discuss what "Quality" means and how to identify the Voice of the Customer.

You will learn how to set an improvement project goal, calculate process yield, and identify Critical to Quality parameters.

You will learn how to map a process and to use the necessary statistical techniques to establish the baseline performance of a process and to calculate the process capability.

To complement the lectures, we provide 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 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.


Week 1: Six Sigma Introduction
Introduction to the SIx Sigma Methodology and the DMAIC process improvement cycle. We learn about cost of quality and how to calculate process yield.
Week 2: DEFINE - Defining the Problem
We discuss how to understand customer expectations, using the Kano Model to categorize quality characteristics. We start the first and difficult task of a Six Sigma project, Defining the Problem, and review the key content in a Project Charter.
Week 3: MEASURE - Statistics Review
Review of random variables and probability distributions used commonly in quality engineering, such as Binomial, Poisson and Exponential. We cover descriptive statistics, emphasizing the importance of clearly communicating our results of our project.
Week 4: MEASURE - Normal Distribution
Learn the characteristics of the Normal Distribution and how to use the Standard Normal to calculate probabilities related to normally distributed variables. Cover the Central Limit Theorem, and how it relates to sampling theory.
Week 5: MEASURE - Process Mapping
We introduce process mapping, including SIPOC and Value Stream Mapping. We identify the Critical-to-Quality characteristic for a Six Sigma project
Week 6: MEASURE -  Measurement System Analysis
Learn the basics of Measurement Theory and Sampling Plans, including
Precision, Accuracy, Linearity, Bias, Stability, Gage Repeatability & Reproducibility
Week 7: MEASURE - Process Capability
Introduction to Process Capability and the metrics CP/CPK for establishing our baseline process performance.
Week 8: Course Summary and Review.
1 Student
Cost Free Online Course
Pace Self Paced
Subject Business
Provider edX
Language English
Hours 3-4 hours a week
Calendar 8 weeks long
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1 review for edX's Six Sigma: Define and Measure

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3 weeks ago
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Anonymous completed this course.
The content is well simplified and the course team is very helpful and responsive.

Thanks to the course team for such a great effort.
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