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.

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