Please include more practical on synthetic data generation, data cleaning and feature engineering. It was hell lot of theories especially from Ethical considerations of GenAI.

This course should be called "Groundhog's Day: A Redundant Repetition of Concepts Related to Fake Data And Ethics." It could have been done in 3 modules. And I don't really see how it was addressing data optimization at all. No data processing course should be so focused on generating fake data that it becomes the main focus of the course. I have taken many courses on Coursera, and this one is bad enough that I might rethink my future investments. Not that the intent is bad, but the content was more than overly redundant, the quiz question confusing and sometimes the expected answers were logically the wrong answers when weighed against the other options. And the course had more to do with fake data and ethics than data processing or optimization. Do better Microsoft. This does not make me feel like Data Processing or Optimization were addressed at all. It feels like a bait and switch.

Excelente super bien explicado

All datasets are removed

very theoretical, sometime repetitive.