Six Sigma
Analyze, Improve, Control
Lean Six Sigma Green Belt Certification,
Building on the concepts from the first course in the Six Sigma Program, Define and Measure, in this course, you will 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 the 5 Whys 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 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 Green Belt level. The material is based on the American Society for 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
- To identify process problems and perform a root cause analysis using cause and effect diagrams and regression analysis.
- To analyze data using inferential statistical techniques, including confidence intervals and hypothesis testing.
- To test and quantitatively assess the impact of different improvement options using the design of an experiment.
- To test for the significance of effects using an Analysis of Variance.
- 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 Analyze, Improve and Control phases in your work or research.
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| Rating | 4.9★ based on 13 ratings |
|---|---|
| Length | 8 weeks |
| Effort | 8 weeks, 3–4 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $149 |
| From | Technische Universität München, TUMx, Technische Universität München via edX |
| Instructors | Martin Grunow, Holly Ott |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Business Data Science |
| Tags | Business & Management Data Analysis & Statistics Engineering |
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What people are saying
anyone who would like
I highly recommend to anyone who would like to start the Lean Six Sigma journey.
stimulating thinking via asking
Dr. Holly Ott made the classes enjoyable by stimulating thinking via asking some key questions, providing relevant examples and really spending the time showing problem solutions.
invited speakers also added
Invited speakers also added value providing different view some relevant to their industrial experience utilizing these techniques.
qualityt information given out
Qualityt information given out as well as exercises that make you comprehend a certain area may be improved according to six sigma principles.
added value providing different
experience utilizing these techniques
practical / professional experience
Main lecturer, Mrs. Ott, transferred the learning material in a great way and linked with her practical / professional experience.
sigma becomes imperative if
Prof Holly, With every industry pursuing Lean practices in their manufacturing processes, knowledge of lean and Six Sigma becomes imperative if you want to pursue career in such an industry!!
with every industry pursuing
decision or solving
This course has helped me professionally as well as personally, whether taking a decision or solving a problem a raised.
genuinely excited about
The instructor (Holly) seems to be genuinely excited about the subject she is teaching which makes the lectures interesting and helps to keep you motivated.
helped me professionally
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Senior Root Cause Analyst $48k
Vice Assistant President Development Coordinator, Cause Marketing $48k
Assistant Development Coordinator, Cause Marketing $58k
Development Coordinator, Cause Marketing $59k
Cause Marketing Manager $69k
Senior Performance Management and Root Cause Analyst $78k
Cause Evaluator (TSP3) $81k
Root Cause Specialist $87k
Manager, Cause Marketing Partnerships and Creative Services $90k
Root Cause Analysis Specialist $106k
Root Cause Analysis Program Manager $117k
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| Rating | 4.9★ based on 13 ratings |
|---|---|
| Length | 8 weeks |
| Effort | 8 weeks, 3–4 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $149 |
| From | Technische Universität München, TUMx, Technische Universität München via edX |
| Instructors | Martin Grunow, Holly Ott |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Business Data Science |
| Tags | Business & Management Data Analysis & Statistics Engineering |
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