I think the quizzes should have had more questions, there were many more cool things you could have asked.

Wish it went in more depth about RDD transformation, which was a little bit confusing... A lab about how DataProc can be used as an extention of BigQuery that does not overlap functionality would be nice. How to covert RDDs to Pandas DF, and vice versa.

This course is far longer than any of the other courses in the Data Engineering specialisation. I felt that it rehashed a lot of the first course as well.

This is very handy course compared with other cloud platform where a customized environment was provided without concerning setup it on my own. This is very thoughtful and I'm very appreciated.

The course has introduced me to hadoop tools. I have learned how easy it is to setup a hadoop cluster using Dataproc. Will sure look for cases that have implemented hadoop and replicate on GCP.

This cource makes those mystery things tangible and exposes you to them by very practical approaches.

Very good construnction of lecture! Alway reviewing learned in the past together with stressing the coming point, this made my awared of where I am in the course.

I am happy to hear problem senarios from the course which I also used to face in daily practice. The related solutions are inspring.

In the lab sections, thanks for same practice approaches sticked throughout, I became very fluently in manipulating those operations for practice.

Assumes the learner has an intermediate level understanding of concepts like Hadoop, Spark, HDFS, and python. Extremely hard to understand the concepts without background in the above mentioned items.

Videos are overlapping, some videos are not loud enough, descriptions are not fitting to the current version of the console, nearly all the same than in the fundamentals course...

This course is so bad that I do not want see again. I really think this course is an advertising of google cloud , and which only teach a little useful things. If my commit makes someone unhappy, but also hope forgive me. Thanks!

Course lectures are mostly fragments of another course, cut in small pieces - many of them are less than 30 seconds long! Content wise, almost everything were discussed in the previous course (Google Cloud Platform Big Data and Machine Learning Fundamentals).

Dataproc is a very impressive piece of software and the labs gave me a great introduction.

good stuff to learn...

Complex concepts explained nicely and in a simplified manner.

Good course .Very interesting!!

Great course, I fully recommend it to anyone :-)

nice nice nice

I learned a lot of their platform for ML. I want to begin the next course.

Very interesting course.

Well structured and informative course

The last question about which item was not suitable for ML, I would have like to see an explanation for the answer. Especially since less than half of us are getting it right. Why can't ML recognise an upside down product? It can be trained on that dimension, can't it?

Great to learn Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform

Very good course for a beginner new to GCP Dataproc and ML

a good course to start your journey in the field of ML

Amazing hand-on labs to experience the power of GCP ML toolings