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Six Sigma - Analyse, Improve, Control, Certificate

Six Sigma - Analyse, Improve, Control, Certificate

  • Anytime
    Application Deadline
  • 56 days
    Duration
EdX is an online learning platform trusted by over 12 million users offering the Six Sigma - Analyse, Improve, Control Certificate in collaboration with Technical University of Munich - TUMx. Learn how to statistically analyse process data to determine the root cause for process problems and propose solutions and to implement quality management tools, such as FMEA, 8D and the 5 Whys.

About

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 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 Technical University of Munich - TUMx.

What you'll learn

  • To identify process problems and perform a root cause analysis.
  • To analyse data using inferential statistical techniques.
  • How to test and quantitatively assess the impact of different improvement options.
  • Implement control mechanisms for long-term monitoring.
  • To Apply the Six Sigma methodology for the Analyse, Improve and Control phases in your work or research.

Detailed Programme Facts

Programme Structure

Courses included:
  • Week 1: ANALYZE - Inferential Statistics
  • Week 2: ANALYZE - Regression and Correlation
  • Week 3: IMPROVE - Design of Experiments
  • Week 4: MEASURE - Analysis of Variance
  • Week 5: CONTROL - SPC and Control Charts
  • Week 6: CONTROL - Control Charts Introduction
  • Week 7: Quality Tools: FMEA, 8D, 5 Whys
  • Week 8: Six Sigma Scenario

Lecturers

  • Martin Grunow - Professor of Production and Supply Chain Management, Technische Universität München

  • Holly Ott - Senior Lecturer in Operations Management, Technische Universität München

English Language Requirements

This programme requires students to demonstrate proficiency in English.

Academic Requirements

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.

Tuition Fee

  • International Applies to you

    88 USD/full
    Tuition Fee
    Based on the original amount of 88 USD for the full programme and a duration of 56 days.
  • National Applies to you

    88 USD/full
    Tuition Fee
    Based on the original amount of 88 USD for the full programme and a duration of 56 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
5% discount coupon: Z7LZNQ4TN3B2JTWU valid for any free course + certificate upgrade

Funding

Check the programme website for information about funding options.

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