I love how this course was well structured. The labs helped excellently in getting hands-on experience with the tools. I highly recommend this one for starting out any analyzing with BigQuery
I thoroughly enjoyed learning about BigQuery and using the Google Data Prep blew my mind! I am planning to use it for my day to day work and also take up more courses about Data prep
By Vasi V•
the labs can be little bit more clear. they are not updated to the new cloud dataprep environment, and some situations I could not find the correct data-insight data. That is frustrating.
By Kunal K•
the course prerequisite should be some one who has done sql and the gcp access should have been given without any restriction so that i can make himself comfortable with the platform
By Roger S•
Very basic in some parts. I wonder if you really have to learn about SQL or about the advantages of cloud vs on premise computing when you are taking this specialization
By N J•
Good course, but I was plagued by Qwiklabs issues, otherwise 4 stars due to sometimes strange jumps between topics.
The video is too long, I recommend people just finished the Quiz and labs and lad solutions. That is enough.
By vincent p•
Basic introduction to SQL analytics queries.About half of the videos just give the explanation of the Lab.
By Gary T•
The instructions weren't very clear as to how to bring data into the BQ work space.
By Phanita T•
Very good for the starter. A bit too simple to who already expert in SQL
By Mohamad S•
A bit salesy. More practice involving key features would be helpful.
By Paripol T•
good concept , but course not update big query ui is already changed
By Mr. S•
How one can deal with job fail in dataprep would be nice. Thanks :)
By Jackson M•
The new UI for google cloud platform changes several things
This class makes it easy to use the Google Cloud Platform
By Roshan D•
Some of the labs failed because of permission issues
By AKELLA Y S M•
Too shallow on SQL
By Vladislav K•
By Xin H•
By Weerachai Y•
By MALLUGALLA B•
By Jay D R•
By Dabblu K S•
The topic is interesting but it would be better to have more challenging graded exercises and more practice without guidance.
By Michael S•
I have many issues with this course. I'd like to start by saying it was a good overview of BigQuery and really helpful in understanding what I can do with it. So, it accomplished its task. First, there are multiple modules that are out of order, so it randomly jumps hugely in difficulty, and then all of the sudden he "introduces" SQL. This happens a couple times, with different datasets. This is a huge problem and frustrating.Second, a bunch of the course is essentially an advertisement for Google. Which is fine, but it means the course skirts around cost (it's in there, but it's hugely vague and basically just says to look at the website. Why not say the cost of all the queries run in the course? It feels like an afterthought). Also probably about a third of the course is just talking about how great Google is - once again, I get it, but tone it down. Fully understanding cost is important and the length of the course could be considerably reduced by removing redundant Google info. Third, it only made me more confused about what data science IS. The first task of a data scientist, according to the slides, is to analyze, while the first task of a data analyst is to derive. Does the analyst not analyze?? That's a small example but this pattern repeats. I do not understand the dividing line. Data engineering makes more sense.Additionally - the labs didn't give me credit for completion a couple times making me redo them. Also, the SQL data is badly formatted and promotes bad practices IMO - why fix data with queries instead of fixing the schema, the root of the problem, which would save cost and time? I get the point is that data scientists need to cleanse the data, but like I said, that is a ducktape on a leaky pipe. At least mentioning that would be good.Once again, I did get value from the course. However, I think it needs a serious overhaul.
By Francisco B•
No puedo finalizar el curso, ya que no existe el laboratorio "Lab: Explore and Create an Ecommerce Analytics Pipeline with Cloud Dataprep" en QwikLABS