Chevron Left
Вернуться к Google Cloud Big Data and Machine Learning Fundamentals

Отзывы учащихся о курсе Google Cloud Big Data and Machine Learning Fundamentals от партнера Google Cloud

4.7
звезд
Оценки: 13,886
Рецензии: 2,424

О курсе

This course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud....

Лучшие рецензии

VS
2 мар. 2019 г.

Overall a good curated course to help understand the GCP offerings and high level architecture of how their offerings fit in the current landscape. Easy to follow along as this was fundamental course.

UK
10 февр. 2021 г.

This course is an excellent introductory to Google Cloud Platform for Data Engineers and Machine Learning enthusiasts. The labs are really thorough and give nice hands-on on the various GCP services.

Фильтр по:

1801–1825 из 2,405 отзывов о курсе Google Cloud Big Data and Machine Learning Fundamentals

автор: Yugo G

4 апр. 2017 г.

Great course with real projects and examples. and easy to follow. It would be better if you also provide the slides of this course so i could read again. Thanks.

автор: sachu k

3 дек. 2018 г.

This course has helped me to get an idea about the fundamentals of cloud environment and its working or more specifically google cloud and it various services.

автор: Sriranga A V

27 окт. 2019 г.

Good Course for Fundamentals on Big data Platform and Big Query capabilities. Great Insights on ML and it gave a focus on how ML works and benefits on Auto ML

автор: Ronald M

17 мая 2020 г.

great, i enjoyed laboratorys and could try for free how to use the solution from gcp. I had some issues at laboratory that I reported for improvment. Thanks.

автор: Felix T

21 дек. 2018 г.

Excellent overview of the cloud ecosystem in the Google cloud. It moves rather fast across complex topics, but in a very careful way of connecting the tread.

автор: Pascal A S

28 мая 2020 г.

Solid. The AutoML part is a bit too easy. Ideally, you would provide a link to the repository containing all code used. Specifically, for the Keras section.

автор: David M

26 авг. 2018 г.

Content is fantastic, coursera is a bit flaky in terms of how it tracks content, labs can be a bit tough to follow and I couldn't get one lab to work at all

автор: Lars R

25 авг. 2019 г.

Quite nice overview about Google cloud. It could have a better overview about the availible features in GCP main UI and how to start the Google Cloud Shell

автор: James B A

11 янв. 2019 г.

It was very good, I which they would spend a bit more time on Cloud DataStore, BigTable and BigQuery, but I guess they will delve deeper as we move along.

автор: Hao C

6 авг. 2020 г.

Surprisingly informative and easy to follow. However, it would be better if they can share the lab documents and link to code that is showing in the video

автор: Vijay K B

19 апр. 2020 г.

Very Good Course,Got Fundamentals of Big Data like Big Query and ML fundamentals in Unsupervised learning and Understanding on Different Google Products

автор: Kumar N

24 нояб. 2018 г.

This course covers basics of GCP. Good place to begin. The lectures are insightful, at the same time, simple enough for a beginner to get started with.

автор: Itrat R

31 июля 2018 г.

Excellent!!! I would have loved it more if there was a bit more explanation on the labs, and where possible codes are shown in both in java and python.

автор: Lun Y

26 февр. 2019 г.

I really love the lab where I can play in the real environment. But, the Table of Contents is bit of too many first level items and lead to confusion.

автор: Haipeng S

4 июля 2017 г.

The quality of the course is good. However, course slides are not available to download, and no tutor is answering questions in the discussion forums.

автор: Rômulo V L L

7 июля 2019 г.

Excelente curso, acredito que para ajudar no aprendizado, no final, deveria gerar uma apostilar com todas as atividades que realizamos na plataforma.

автор: Alexander

14 сент. 2018 г.

The Cloud Datalab labs were buggy, had to do two of them twice to get the completion to actually register. Was using Google Chrome on Mac High Sierra

автор: Leandro S

27 апр. 2018 г.

Really interesting with nice examples. I would like to mention that it is not 5 starts because I found some repeated lessons / videos in the content.

автор: Stefan J

12 окт. 2020 г.

very good and interesting start, second half gradually fell off in quality, less quizzes, less good labs (video lecture quality stayed good though!)

автор: Roberto S

27 апр. 2020 г.

Very good introduction to the GCP tools applied to cutting edge data engineering and machine learning. Videos are well done and tutorials fun to do.

автор: Aditya K

30 сент. 2018 г.

As I am from an Admin background it took more time to understand the AI & ML areas. Overall it is very good and hope learn in details in next course

автор: Aniruddhan G

13 апр. 2017 г.

It is certainly a good course offering a broad overview of the Google cloud platform. However, it could offer more depth in all the modules covered.

автор: Bobby M

7 янв. 2019 г.

I love the content. The lab system is innovation but sometimes the scoring system does not work properly, especially when you are outside the US.

автор: Oren L

16 сент. 2018 г.

The course is good, the labs are not great and some of the labs required multiple (identical) repeat before it was marked as completed. Thank you

автор: JUAN G B

10 июня 2018 г.

Good for an introduction.Some topics about Datalab need an extra introduction, because are not easy to understand for a person with not knowledge