Applying the supervised and unsupervised methods through Google, with more examples would be a better learning experience. But this course gave perfect confidence to tackle anything that comes up.

I got familiar with a lot of options, and had hands on experience with Qwiklabs. But it would be more interesting if the we actually had to do something ourselves instead of following instructions.

Las explicaciones de cada paso a veces son ambiguas y obliga en gran medida a hacer nuevamente los laboratorios.

El contenido del curso es poco para todo lo que puede hacerse como Data Engineer.

This felt like half marketing, half using GCP for machine learning. Prebuilt solutions are useful for many cases but I only really needed info on the storage and data processing to get started.

Awesome instructor. An advanced course on this topic (4-5 weeks ) would have been better. To join this course is basically paying for someone to comment on the tutorials available for free.

The course is really more focused on GCP and the products it has rather than you doing anything significant with the product. The course is extremely basic and I wish I didn't pay for it.

Its a very Introductory course, you will get a high level overview. Most of the hands on are some what pre- configured with steps, which prevents learning end to end learning of the flow

Some of the labs are repeated, why do we have to repeat the steps all over again and again, the course could have been shorter, and the last module was really fast and not explained well.

Instructor's tone was monotonous. Course would have been interesting with more real-life examples. Module 5 rushed through pub/sub and dataflow, could have added a small lab for the same.

The course was average. ONE thing missing is VIDEO LECTURES for the LABS. The labs are just read and perform. And mostly copy paste code without explaining what the code actually does.

This course could almost be retitled, Learning the Google Cloud Marketing Material. I won't say it was without value, but it is a really high overview of the Google Cloud offerings.

Way too much advertising - and too much copy and paste in the labs. Tests/quizzes are getting sparse in the last modules - but still it is a good intro in the field for beginners.

The explanations were clear, but I think it might have been nice to go a bit more depth. Even perhaps building something a bit more robust, something like a portfolio piece.

It's very fundamental, more excersices from scratch will be less easier AND yield self awareness of the services from GCP to be applied depending on the problem presented.

The course touches the concept at a very high level. Unless someone has done a baic course on Big Query or ML it's hard to catch everything been explained in the course

The course isn't bad because you get familiar with Google Cloud Platform, but I think it isn't challenging enough for someone who seeks real hand-on exercises.

This couse I a good start for newcommers. It is full of necessary terminology and technology review. On the other hand, there is a lot of advertising.

El curso deja muchas cosas en el aire y no toma profundidad en nada. En cierto modo, parece un evento promocional más que un curso de capacitación.

It's fun to learn more about how google solving business problem related to high volume of data. This nice start course other should consider.

Good as an intro but it will not be sufficient if you want to apply what you learn at work. Looking forward to getting more hand-on projects.

This was a walk through class. Expected more detail on how to use these tools. Overall this felt more like a sales pitch than a learning tool

Some good content here, but also some filler, particularly the "lab reviews" and "module reviews" were just rehashing earlier material.

The course is informative and useful. I would like to see more opportunities for the student to experiment or try to solve a problem.

This gives you a very high level overview of the data services. It is good for getting your feet wet, but there isn't a lot of depth.

Clarity with steps is lacking in the labs. When asked questions in the online chat for the clarit, it was not helpful consistently.