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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

Оценки: 13,722
Рецензии: 2,407

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:

1926–1950 из 2,389 отзывов о курсе Google Cloud Big Data and Machine Learning Fundamentals

автор: Shubham K

24 мая 2020 г.

learn something new conept .not easy to solve all question.this is new experience of my life

автор: Fahran W

21 дек. 2018 г.

The contents was a bit light, but the labs were very polished, and it does teach the basics.

автор: Rohit S

9 окт. 2018 г.

course, pedagogy, content is fine. Some times the Labs dont work and it wastes a lot of time

автор: Richard I

4 июля 2017 г.

I liked the breadth of the course, talked a lot about different services offered on the gcp.

автор: Salman A F

24 нояб. 2019 г.

Some of lab instruction was skipped, but I thought that in the case we need some creativity

автор: France M

3 мая 2019 г.

Overall the course is good, but lost a lot of time with incorrect instructions for qwiklabs

автор: Alexander C

17 апр. 2020 г.

Me hubiera gustado ver mas temas relacionadoscon data engineer y menos de machine learning

автор: Rogério H

4 апр. 2020 г.

A few labs were not with up-to-date ui from GCP, had to fin the proper locations fir them.

автор: Henry H

25 нояб. 2019 г.

The course was informative, but some of the labs had bugs in them or errors in the coding.

автор: Venkatesh K

6 сент. 2019 г.

I expected some intro on unsupervised learning as well in this course. so giving rating 4.

автор: Carlos G H

4 авг. 2019 г.

This is a very good introductory course for GCP. Good labs that show interesting features.

автор: Fedor P

29 окт. 2018 г.

Basically overviews, very fast, but ok when other Courses in the specialization are taken.

автор: Chatchai S

7 мая 2020 г.

Some of the lab has problem but most of them give me background knowledge to look further

автор: Solieman E

6 мая 2019 г.

A great start, maybe extra details about the labs will be better than just copy and past.

автор: Daniel P

13 июля 2018 г.

Had to send many troubleshooting emails around the quick labs, but overall a great intro!

автор: Tinn P

15 февр. 2018 г.

It was quite time consume for me to finish the course within 1 week. 10-14 days was fine.

автор: Mahek M

2 окт. 2020 г.

Great learning experience, fabulous understanding of the GC tools, working. architecture

автор: Tarun T

21 дек. 2019 г.

Excellent ML insights with great usecases and how GCP played a mail role in solving them

автор: Abhishek B

31 мар. 2019 г.

Its good. But information is shallow. And that's okay. Because its meant to be that way!

автор: Hemant J

18 сент. 2018 г.

This course was designed very intensively,had elaborate theory and practical work demos.

автор: Venkata S S I

21 февр. 2021 г.

I would've loved a little more coding, and a little less videos. Overall, great course.

автор: Saswata H

21 апр. 2019 г.

The info towards the end is a bit too condensed, it would be better to expand it a bit.

автор: Balachander R

6 дек. 2019 г.

Interesting course to learn basics about google cloud platform with practicals hand-on

автор: Juan P

3 нояб. 2019 г.

It would be good for more hands on labs, but otherwise it is a good introductory class

автор: Yi S

17 дек. 2018 г.

would be great if many labs can be combined into a single one to avoid repetitive work