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

The labs were awesome! The trainers in the video and in the demo were well prepared. The quizes however were short and not well thoughtful.

Bom curso para ter uma visão inicial sobre Data Lakes e Data Warehouses. Poderia ter um pouco mais de Labs para masterizar melhor o tema.

Really enjoyed this course - lots of useful demos and useful labs. The discussion around schema design was really interesting.

Pretty good. I wish they dig a little deeper into streaming versus batch ingestion, and also talked about BigQuery BI.

There were few times when it was a bit confusing and took me some time to catch-up but overall it was a great course!!

Not really much practice. A lot of In-depth details about Data Engineer job specifics and how it relates to GCP.

This course lays the foundation of data engineering through the hands-on exercises on GCP services. Niceone!

Some of the labs were repetition from the first course, but one had to go thru it, to get completion status

Great course. I would have liked a bit more exploration into CLI through the console and console commands.

Muy bueno, creo que el se puede mejorar los laboratorios, aveces parecen no tener relación con el tema.

lab practice are good and expalination with example during lab practice are really well explained

Excellent presentation, demos and labs. The last lab needs to have a little more time allocated.

O professor que fazia as Demo era um pouco chato de ouvir e ele embolava na fala algumas vezes.

Bueno, enseña mucho de bigquery. Me gustaría profundizar mas en el clustering y el partitioner

Over All, It was really great!! I learned a lot of new concepts!!! Thanks, Coursera Team!!!

It was good course with hands on, The only thing you could add on is case study at the end