Data Analytics for Lean Six Sigma

Korshub's take

This University of Amsterdam course pairs two disciplines that are often taught separately: Lean Six Sigma process improvement and the statistics that actually back it up. Nearly 97,300 learners have taken it, and at beginner level it doesn't assume you're already a statistician — just curious about how data drives quality decisions.

What's covered

• Core Lean Six Sigma and Lean methodologies for process improvement
• Descriptive statistics, probability distributions, and statistical hypothesis testing
• Regression analysis and data visualization techniques, including histograms
• Hands-on use of Minitab, a standard statistical software tool in quality-improvement work

Who it's for

Well suited to operations and quality professionals pursuing Six Sigma skills who want the statistical backbone, not just the process framework, as well as data analysts curious about how their skills apply to manufacturing and service-quality contexts.