Data Analytics for Lean Six Sigma By The University of Amsterdam (Free Online Course) : Data analytics plays a crucial role in enhancing the effectiveness of Lean Six Sigma, a methodology aimed at improving quality, efficiency, and overall business performance. By leveraging data analytics, organizations can make informed, data-driven decisions throughout the Define, Measure, Analyze, Improve, and Control (DMAIC) phases. This allows for more accurate identification of process inefficiencies, root cause analysis, and the measurement of improvements with greater precision. In this introduction, we’ll explore how data analytics empowers Lean Six Sigma practitioners to streamline operations, reduce variability, and drive continuous process improvement with real-time insights.
What You Will Learn?
| Module 1 – Data and Lean Six Sigma |
| Module 2 – Understanding and visualizing data |
| Module 3 – Using probability distributions |
| Module 4 – Introduction to testing |
| Module 5 – Testing: numerical Y and numerical Y |
| Module 6 – Operational Support and Conclusion |
| Module 7 – Testing: categorical Y |
Skills You Will Gain
- Statistics
- Lean Six Sigma
- Data Analysis
- Minitab
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Course Enrollment Process
Here are steps on how to enroll in the “Introduction to Cybersecurity Fundamentals” course on Coursera:
- Visit the Course Page: Go to the course page on Coursera.
- Click on “Enroll for Free”: Located on the far-left side under the course title.
- Choose Enrollment Type: Opt for either the “Free Audit” or a paid version for certification.
- Sign In or Register: Log in or create a Coursera account.
- Start Learning: Once enrolled, access the course materials.
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