need practical examples of data treatment

Introductory overview -- this will not really prepare you well for an exam. For a product that revolves around quality improvement systems, this one ironically has noticeable spelling errors and a few things that were simply incorrect. Much of it is simply a re-hash of the book that is to accompany the videos, which in turn frequently are just reading parts of the book back to the viewer. There are whole sections that consist mostly of instructors verbally reading off complex mathematical formulas, which is not helpful.

Slides are not helpful, for example when explaining graphs and plots they don't even show examples. Also, the contents of the specialization cover just one portion of SSGB and the capstone project is not designed in a manner that helps the students to understand and apply concepts.

My criticism of this course and reason for providing only 1 star is based on the Capstone project required for completion of course. The requirement is understandably based on completion of an actual project performed for a real business but this would require a minimum of several months to complete. Many students will not have access to resources necessary to execute a project that would meaningfully demonstrate the skills learned in the Green belt courses. I suggest that Coursera creates a simulation that would require students prepare necessary documents based on a hypothetical process improvement, possibly starting from an investigation into a product deviation. Feedback could be provided at each stage of Design, Measure, Improve, and Control stages and once successful they could move on and be presented with additional materials necessary to carry the simulation forward. This would be much more useful for teaching practical application of skill and also for demonstrating ability to apply concepts.

You will have to wait months if not years to see if you pass the final project. There are still ungraded projects from 2020