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Opiniones y comentarios de aprendices correspondientes a Exploring ​and ​Preparing ​your ​Data with BigQuery por parte de Google Cloud

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2,209 calificaciones
359 reseña

Acerca del Curso

Welcome to the Coursera specialization, From Data to Insights with Google Cloud Platform brought to you by the Google Cloud team. I’m Evan Jones (a data enthusiast) and I’m going to be your guide. This first course in this specialization is Exploring and Preparing your Data with BigQuery. Here we will see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud Platform. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Cloud Dataprep to analyze and transform your datasets. This course should take about one week to complete, 5-7 total hours of work. By the end of this course, you’ll be able to query and draw insight from millions of records in our BigQuery public datasets. You’ll learn how to assess the quality of your datasets and develop an automated data cleansing pipeline that will output to BigQuery. Lastly, you’ll get to practice writing and troubleshooting SQL on a real Google Analytics e-commerce dataset to drive marketing insights. >>> By enrolling in this specialization you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<...

Principales reseñas

RS
15 de ene. de 2019

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

AR
5 de abr. de 2020

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

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226 - 250 de 359 revisiones para Exploring ​and ​Preparing ​your ​Data with BigQuery

por Muhammad Z H

9 de sep. de 2019

learnt alot

por Angela A

23 de ago. de 2019

Very useful

por manish l

11 de dic. de 2017

Excellent!

por SAI S R T

10 de may. de 2020

Very well

por MD I A

23 de nov. de 2019

Excellent

por Deleted A

26 de sep. de 2019

excellent

por Madhav D

6 de sep. de 2019

Very good

por qun

2 de jun. de 2018

very good

por ARAVINDARAJ S

30 de sep. de 2020

Awesome!

por Héctor N C S

12 de abr. de 2018

excelent

por Haniya A

19 de sep. de 2020

superb!

por melanie b

15 de ene. de 2020

Perfect

por Shashwat G

22 de sep. de 2020

Thanks

por Nils J

21 de sep. de 2020

super!

por Chetan R D

27 de abr. de 2020

Great!

por ÁNGEL_JESÚS P P

26 de may. de 2018

Great!

por Mohanaraj J

24 de dic. de 2019

Great

por Fatin A B M A

26 de oct. de 2020

good

por Ashwini M T

24 de may. de 2020

Good

por kwanyoung s

12 de mar. de 2020

good

por Arisandi

12 de mar. de 2020

good

por Liwa A S

22 de ene. de 2020

Nice

por Atichat P

9 de sep. de 2019

Good

por CARLOS N C

25 de nov. de 2020

.

por Íñigo L

26 de mar. de 2020

I find this course a very useful introduction to data analysis in the cloud. Videos allow quick incursions on well delimited topics. Labs, even if time constrained, allow well structured practices on GCP tools. However, I find some pedagogic faults in evaluation. I'll give two examples. In the SQL syntax errors lab there were questions about not covered topics (e.g. legacy SQL formats) or multiple answer questions, which correcta answers were some been covered and some not. That's confusing an frustrating. Same for quizes: there are some that seem trivial (little and easy questions) and others that are frustrating (e.g. Quiz 5, in which I'm pretty sure none of the 3 provided answers for question 2 is right, and in which none of the 3 answers provided (which I checked in as many attempts) is deemed correct by you.) This is a very good introduction, indeed: I believe it merits a litlle more careful consideration of evaluation items and issues. Thank you!