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 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 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.
This Six Sigma - Analyse, Improve, Control Certificate is part of Six Sigma and Lean - Quantitative Tools for Quality and Productivity Professional Certificate offered by EdX in partnership Technical University of Munich - TUMx.
What you'll learn
Always verify the dates on the programme website programme website .
3-4 hours per week
Martin Grunow - Professor of Production and Supply Chain Management, Technische Universität München
Holly Ott - Senior Lecturer in Operations Management, Technische Universität München
This programme requires students to demonstrate proficiency in English.
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.
Check the programme website for information about funding options.
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