cool

Bom

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Overview:

The structure of the course (after a basic overview) goes through the labs first (which gives you screenshots on how to use BigQuery/Dataprep - click start then follow the steps) then the instructor goes through the lab afterwards.

Issues:

What is Data Fusion in comparison to Dataprep? They threw that in there without a connection.

In the BigQuery section if the hyperlinks are not working for you change "p=" to "project=" in the address bar. This took me a while to figure out. Would be helpful to understand the structure of the labs sections.

BigQuery has changed a lot so if you don't see something it probably does not exist anymore.

Tips:

I find doing one video a day easier to do than expecting myself to do this all in one go (mini habits).

Good to have some basic knowledge of SQL. Bottom line: Good for learning the basics of BigQuery and some SQL data cleansing.

The speaker's voice is not one of the easiest to listen to, especially for extended periods of time; moreover, he often lacks in clear pronunciation and timing. I understand the possibility of using subtitles, but it's one more effort on the part of the student, while we should focus on the content and draw conclusions. The quizzes are too short and easy; the labs seem to be focused on SQL (which could be taken for granted, at this level) instead of building up familiarity with BigQuery itself. It seems like most of the first labs are just fill-ups, it gets a little better in the labs about DataPrep. Shifting the attention from SQL to the two frameworks and their integration may be a better idea for the future, in my opinion.

One of the main reason I am giving it a 3 star is because the labs are very disorganized and not clear clarity on why the system is broken with linking with coursera after specific labs are complete. The knowledge gained about BigQuery and how data transformation can be done is good. However, the quizes arent hard or challenging at all. I feel it can use a bit of more logical questions which may cause you to think. Plus it kind of sounds promotional for google itself with this course where they talk a lot about the features and how overly impressive this. Come on Google. Let us decide that.

Starts out as mostly a product pitch, is fairly light on actual BigQuery / SQL skill-building & mental model-forming. Last piece of last module (on DataPrep) is entirely different, with much longer & more extensive lab exercises. Feels very uneven overall, and wouldn't be my preferred intro to GBQ (it wasn't). Despite these shortcomings, is a fairly decent intro. Will see how subsequent courses in the specialization are.

Not bad, but a broad overview that sometimes makes you type thing without understanding what you are doing. Too much "how good GCP is" and not enough knowledge about specific needs. I came here as a newbie and left with just a little more knowledge. Certainly not a 7 week course, it can be finished in 3.

The contents are interesting and engaging, however the intonation of the narrator in many of the videos (e.g. "Compare Big Data On-Premise vs. on the Cloud" is terrible - sounds like he's tired or losing air towards the end of every sentence. Simply impossible to listen to.

Overall, I really liked this course. However, the data pipeline piece felt unnecessary and I didn't see a lot of value in it for analysts. The folks building the pipelines aren't necessarily going to be those doing the analysis work.

Los ejercicios son dificiles de hacer en el tiempo otorgado, en especial para los que no tenemos un nivel de formacion avanzado. Consideren desdoblarlos con mas explicacion y mas tiempo.

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.

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

Some details are outdate and some explanations could be better, but, overall, it's a good course to have a basic understanding of how to explore and prepare data with BigQuery

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

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.

Basic introduction to SQL analytics queries.About half of the videos just give the explanation of the Lab.

The instructions weren't very clear as to how to bring data into the BQ work space.

Very good for the starter. A bit too simple to who already expert in SQL

Trop commercial

Data fusion en trop, pas assez de temps sur Big querry

A bit salesy. More practice involving key features would be helpful.

good concept , but course not update big query ui is already changed