GOOD

good

=)

I believe this is an appropriate range of topics, but it could be just a little bit more challenging than a simple follow along. I.e. the content and materials are good, the code written and prepared in GitHub is also good, the lists of additional readings are great, but I would appreciate if, like in the general intro course, there were quizzes where one had to code a few lines on one's own, for retention's sake. This instructor believes in learning by tinkering and reading materials and being serious about it, find your own challenge sort of way - I totally get it.

Good course. My main concerns are: - Anything that happens on the student's laptop can go wrong. So relying heavily on VS Code and Snowflake CLI is interesting but risky. - Streamlit and Snowflake Native Apps seem to be out of scope of modern data engineering. Snowflake should consider to deep dive more into data engineering features only.

Evaluation: 3.5/5 Good narration, nice examples. Not enough practical examples. The previous course raised expectations really high, I felt it like an overview course for the same concepts and the addition of some other concepts.

It gives a overall idea of how to build data engineering at a very short period of time.

Very useful

Good Course but applying in real project is not easy as customer are not using Snow DE features as this more coding proces to build the pipeline

I would not recommend this course and especially this specilization. I don't feel like I learned anything and the commands libraries and UI of snowflake are all outdated.