Great

Great

good!

ok ok

good

Good

good

good

good

good

good

good

qwe

The subject was fascinating. Some parts of the course materials seemed sloppy or rushed. Some videos would have been better if split into smaller chunks. It would be worthwhile to give the transcripts thorough review and editing since the ability to highlight notes that one can click to go right to the spot in the video is sooo handy. Overall, I think the presenters did communicate the bulk of what they intended. The excellent parts, and there were many, made me wish that the same level of care and polish had been applied to every part. Because it really was very enjoyable material. (Quick note: at the end when you view your certificate it lists the things you have learned and one of them is TensorFlow; that should be removed from the list.)

Very condensed course. A lot of stuff to go through which is great but links to code, refereed documentation etc would be very helpful, especially when only mentioned in a video and not shown. At some points its possible to pause the video to note down where reference material can be found.

Good course. To make Great: 1) get some Intern (or better AI) to correct text, punctuation, etc., displayed below recordings. 2) allow video to be on separate screen, from text (without having to download text files). It would be nice to view video/graphics, while following the text.

Evan & Lak's lectures are very good, it went so seamless, but listening to Julie's lectures is hard work, she is rapid, I needed subtitles to comprehend the speech. Other opinions might be different, but; these are genuine ones from me, please note that there is no bias in my mind.

Provides a broad over view of GCP tools to build data pipelines, tools to build data lake and data warehouse and reference architecture to use. It helped me understand the GCP platform better and provided hands-on exercises which are very helpful.

Excellent course for beginner as I was not aware of the Data Lake and Warehouse concepts.Apart from that the course really explained in an efficient manner the concepts of Nesting , Partioning and clustering for Big Data.

Really Interesting. If possible add one migration example from existing data warehouse for one small subject area to BigQuery . It would give more comparable insight on power, design approach on BigQuery

Lab exercises are good. Maybe it would be even better if there is more time for some, that they are more complex, and that there are requirements to write queries without giving answers.

the topics covered are in detail with some hands on lab but it has a very easy level exercises. It would have been more fun if their were more tough questions in quiz and hands on lab

Good course but perhaps to make things stick, we would have used one project and built upon it. I felt like I was being tossed all over the place in terms of subjects and topics.

bit simple for experienced db users, but the 2nd week does a very useful deep dive into advanced GBQ features like how to properly handle nested fields.

Course material spends a little too much time promoting the benefits of GCP when it could be focusing on the technical aspects of using GCP