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Learner Reviews & Feedback for Serverless Data Analysis with Google BigQuery and Cloud Dataflow by Google Cloud

2,834 ratings
278 reviews

About the Course

This 1-week, accelerated on-demand course builds upon Google Cloud Platform Big Data and Machine Learning Fundamentals. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to carry out no-ops data warehousing, analysis and pipeline processing. Prerequisites: • Google Cloud Platform Big Data and Machine Learning Fundamentals • Experience using a SQL-like query language to analyze data • Knowledge of either Python or Java Google Account Notes: • Google services are currently unavailable in China....

Top reviews


Dec 12, 2018

The combination of Java and python is sometimes a bit confusing. Maybe it would be better to split the course in a java and a python version so all the Beam concepts are taught in a single language.


Jul 21, 2019

Thanks for designing such a wonderful course outline. I learned valuabe BigQuery and Cloud Dataflow concepts. Best part was to learn how to write data pipelines and execute on cloud using Dataflow.

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251 - 275 of 277 Reviews for Serverless Data Analysis with Google BigQuery and Cloud Dataflow

By Chris H

Oct 31, 2018

Why is there only sound for half the videos? This is not the only course this is happening to.. fix this ASAP

By Michael W

Jul 24, 2018

Started out very solid and then it just fell a bit short on some of the key exercises. Probably should have started with the Data Prep Tool & Templates before heading into Beam pipelines and Side Inputs and those two could have been more detailed. I finished this course in 1.5 days so you had a bit of room to make it more robust with a week being the expectation.

By Rushi P

Jul 29, 2018

BQ portion, very helpful.

By Subhrendu B

Jul 10, 2019


By Asim K

Jul 16, 2019


By Martin W

Aug 05, 2019

Check progress in Quicklabs does not provide useful help. Some quicklabs are hard to complete, if you made once something slightly different and it was not recognized as a result.

By Indrek V

Aug 26, 2019

Multiple technical errors on this course. One lab had to be completed multiple times because of progress check errors. Course progress updates seemed to be "rolled back" at one point. Last quiz in the course simply won't load. Maybe Coursera and Qwliklabs are just having a bad week...

By Michael B

Apr 25, 2018

Similar to the others, a lot of waffle and only the very basics taught.

There's also duplication of questions across quizzes which are incredibly easy

By Lucas d S R

Apr 26, 2018

For an intermediate course the demos are too simple. The concepts presented are clear but there's very little depth on what's covered. It is, at best, an introduction to Dataflow/BigQuery rather than a complete course.

By Andrey B

Feb 25, 2018

I have the impression that the narrator does not prepare for the courses/recordings and chooses on the fly what to say and what facts/features to leave out. Then, the Dataflow Straming Example has only Java codes for Apache Beam, no python version. This code did not work, no help in discussion Forums.

By Jim B

Mar 25, 2018

Unpolished. Little depth. Labs ran really slow. I can't believe this was $99.

Instructions for labs were the bare minimum and only after the video reviewing the lab (which seemed like padding for time to me), did you understand the lab,

Why not have java AND python videos -- switching back and forth was annoying.

By Nathaniel B

Jul 06, 2018

It's good to learn about BigQuery, Dataflow, and Dataprep. The training should include more than tutorials. It should include recreation/emulation and generation on the part of the student. The reviews are infrequent and not very useful for highlighting the most important information. A couple of the labs do have good questions that ask the student to explain code or predict it's output, but it can be better organized so that the student can get immediate feedback on whether he/she is correct. Dataprep seemed like an afterthought in this course and lacked an opportunity for the student to explore it in a lab.

By Jeronimo G

Jul 27, 2017

I'd expected a more deep course

By Justin

Jul 27, 2018

Really verbose. Also the labs kinda sucked.

By Gonzalo A M

Aug 02, 2019

a little confusing how to work with dataflow and the process is too long!

By Paul C

Jan 24, 2019

this course feels more like a advert for all the services that GCP has to offer than a course you can do to get usable skills for the workplace

By Sim K Y

Jan 31, 2019

Lab system is EXTREMELY slow.

By Ciprian D

Feb 02, 2019

This course/specialization is seriously insufficient in order to pass the GCP certification. A lot of knowledge from the Architecture course would still be necessary. The disclaimer about work experience does not cover that.

By yan c

Sep 09, 2018

Some labs are not even been tested at all. No git repo, the instruction is incorrect. Environment is not set up correctly.

By Aaron C

Sep 10, 2018

passive learning = shit learning

By Yoong S C

Sep 24, 2018

Really mediocre.

By Alexandre V G

Sep 14, 2018

Horrible material. Too much time waisted on unrelated or irrelevant things.

Lak is horrible

By Anselme B

Oct 04, 2018


By Fernando Z

Sep 19, 2018

Very much disappointed. The instructor had added no value to explore Dataflow. Good try to add other to help him, but I've missed really explanations around the Apache Beam API, and it's code in more details.

I had to drill down on a lot of extra materials outside the ones describer here to get a dataflow pipeline code built.

Another thing. Dataprep was very light described. It could have more explored and with Demos.

By Cavan O

Apr 25, 2019