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

2,132 calificaciones
350 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: <<<...

Principales reseñas

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

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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301 - 325 de 351 revisiones para Exploring ​and ​Preparing ​your ​Data with BigQuery

por LAI Y L

26 de nov. de 2017

Lab still have some problem

por daesung k

8 de abr. de 2020

Nice demos & curriculum.

por Jinwook C

26 de abr. de 2020

using old gcp platform

por Adrián H O

29 de ene. de 2019

I loved the teacher.

por 이현부

22 de mar. de 2020

interesting course.

por Ralph A J S

13 de jul. de 2019

I've learned a lot.

por Wanthanai J

27 de nov. de 2020

Easy to learn

por Donghwi K

8 de mar. de 2020

Very helpful

por Hernán D R S

13 de abr. de 2019

NIce course.

por Dessy A

10 de mar. de 2019

Good course

por Felipe A H

25 de jul. de 2019

Very Funny

por Khanh A

1 de ago. de 2020

very good

por Hendrik

21 de mar. de 2020

Very Good

por amarender R b

2 de ago. de 2018



31 de dic. de 2018


por Jit D

5 de dic. de 2019


por Eng/Mahmoud H M

18 de abr. de 2020


por C.K. T

12 de abr. de 2020


por Eduard P

14 de nov. de 2019


por Ekta M

20 de ago. de 2018


por kiran

4 de may. de 2018


por Danis N G

12 de jul. de 2018

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.

por Arun A

14 de may. de 2018

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.

por Daniel M

29 de nov. de 2017

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.