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Вернуться к Google Cloud Platform Big Data and Machine Learning Fundamentals

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

Оценки: 12,591
Рецензии: 2,251

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

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.

23 сент. 2019 г.

This course really helped me in understanding exactly 'How the Big data and Machine learning can be used in Cloud' and 'The ease to use it'. Thank you for summing all the fundamentals in this course.

Фильтр по:

2151–2175 из 2,223 отзывов о курсе Google Cloud Platform Big Data and Machine Learning Fundamentals

автор: Vedansh C

22 июня 2020 г.

i would like to unenroll from this course

автор: Todsaporn B

17 мар. 2019 г.

US or UK accent instructor pretty please

автор: Shweta G

2 апр. 2019 г.

So far it just good enough informative.

автор: Igor P

13 февр. 2019 г.

I think there should be a few more labs

автор: Christopher D

2 июля 2019 г.

good for providing a broad overview.

автор: Mohammad J a a

4 окт. 2018 г.

Some lectures are not clear enough

автор: Jadim T S S

20 нояб. 2019 г.

faltan los subtitulos en español.

автор: Javier L V

9 сент. 2018 г.

Too many unnecessary short videos

автор: Antonio R T

26 сент. 2017 г.

The videos were poorly edited.

автор: Alexandre L

2 июля 2018 г.

very interresting, cheers

автор: Pritesh S

15 дек. 2018 г.

Very beginner friendly.

автор: Bertrand R

16 дек. 2020 г.

trop guidé dans les TP

автор: Abbas A

30 мар. 2019 г.

Some labs are buggy.

автор: Everth P

18 февр. 2019 г.

Muy bueno el curso

автор: Yoong S C

23 сент. 2018 г.

Good introductory.

автор: Hui N

29 июля 2017 г.

Very fundamental.

автор: MD A E

9 июня 2020 г.

Good Experience

автор: Sen

17 окт. 2017 г.

no challenging!

автор: Simen T

14 янв. 2019 г.


автор: Vaibhav S

14 нояб. 2018 г.

Too basic

автор: Thiha H

15 нояб. 2018 г.

not bad

автор: Ritesh K

10 янв. 2020 г.


автор: Väinö J

1 апр. 2017 г.

Good overview of all the services, but I could have read it just from the service list, and all the labs can be done without watching this course. There is no barely any information about machine learning, except for a small Tensorflow playground overview and copy pasting Python to Datalab. But this negative comment is only because I was expecting it to be a bit more comprehensive, for someone who has no previous information about any of the subjects, this can be a good introduction.

автор: Jacob L

10 апр. 2019 г.

This course was all over the place. I signed up to do the GCP Data Engineering course, and this was a HIGH level intro. that also jumped randomly into ML without giving a whole lot of insight into the actual. GCP env. They skimmed over 90% of what an actual project would consist of-- data cleansing, ETL, data insight, etc. There didn't seem like there was a cohesive plan on what they were covering.

автор: Zeev S

19 сент. 2017 г.

comparing to other Coursera courses this one lagged behind. Unpolished videos, too much time spent on the promotional aspects of GCP, and the examples given were more of a demonstration in a style of follow me. Adding to it my expectations that Google should outperform, I was quite disappointed. However, the content was important for me and I don't regret taking the course.