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Overview
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 Lean Six Sigma Green Belt Certification: Business Project Professional Certificate Program offered by EdX in partnership Technical University of Munich - TUMx.
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.
Programme Structure
Courses include:
- ANALYZE - Root Cause Analysis
- ANALYZE - Inferential Statistics
- IMPROVE - Design of Experiments
- MEASURE - Analysis of Variance
- CONTROL - SPC and Control Charts
- CONTROL - Other Control Charts
- Quality Tools: FMEA, 8D, 5 Whys
- Six Sigma Scenario and Course Summary
Key information
Duration
- Part-time
- 2 months
- 3 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Portland, United States
Disciplines
Computer Sciences Data Science & Big Data View 462 other Short Courses in Computer Sciences in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- No prior experience required
- To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residents199 USD / full≈ 199 USD / full - Out-of-State199 USD / full≈ 199 USD / full
Additional Details
Add a Verified Certificate for $199 USD
- Limited access: free
Funding
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