Six Sigma: Analyse, Improve, Control

Course details

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. Updated on 17 September, 2019