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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

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:

1776–1800 из 2,406 отзывов о курсе Google Cloud Big Data and Machine Learning Fundamentals

автор: Deep C

21 мая 2019 г.

This is a very well written Introductory course on GCP products. The review tests are very good. It makes the understanding of a concept more clearly. Thank you Google for making this content.

автор: Sadik S

26 авг. 2018 г.

A nice overview of some of GCP's offerings. Struggled to strike a balance between diving into details though, e.g. the labs were more detailed than an exec looking for an overview might need

автор: Wilbert v d K

14 июля 2018 г.

Very interesting course, but there still is a bug in it that causes you do to a topic multiple times and you need to use your projectID as your bucketname or you cannot complete the course.

автор: Hernaní R C N

6 мая 2019 г.

Muy buen curso introductorio en donde se utilizan todas las app google que tienen relacion con ML. dando tambien la opcion de ver otros usus de las mismas para otro tipo de ptoyectos.

автор: Vinay T

10 авг. 2018 г.

It was really a great course, I learned a lot and special thanks to instructor for helping in every possible aspects especially in labs part. Overall it was really a great experience.

автор: Rapheephan N T

26 апр. 2020 г.

Course was well prepared with introduction video, reading resources, and especially the lab which helped me easier to understand the concept of data engineer and ML in Google Cloud.

автор: Chris V

9 нояб. 2019 г.

labs were very well organized, although could have encouraged the student to do more troubleshooting. content was at the right level and instructors were very clear and informative

автор: Alberto B T

8 дек. 2019 г.

Nice introductory course. The only problem I find is that exercises are really easy to solve so learning is basically based on theory found in videos. It should be more practical.

автор: Christian H

23 дек. 2017 г.

Very good overview of the data tools on GCP. Not coming from data science it really pushed me to understand and see why a particular tool was used instead of another. Thank you!!

автор: Nikolay K

10 окт. 2021 г.

Course is actual introduction into cloud data processing. Only one disadvantage is copy-paste Labs. It should be better if student produce some actions, not just reproduce them.

автор: Naiara A C

29 апр. 2020 г.

Eu gostei bastante do curso, mas acho que são muitas ferramentas faladas durante o curso mas entendo que esse é o objetivo. Dar uma introdução sobre variados serviços da Google.

автор: Sunuk P

18 апр. 2017 г.

Some latter sections felt as if they were not shot in sequence, thus disrupting the flow. This fact notwithstanding,

the program is an overall a good overview of the platform.

автор: João A

9 мая 2020 г.

In the second lab there is a minor error on a script. Solution is in the forum. And I felt that the third lab could be easier of understanding if it's used a simpler dataset.

автор: Samir H

30 июля 2021 г.

Some of the labs need testing & troubleshooting, but overall as someone who has been using GCP for 12 months as part of my job I still learned a few new things! Great stuff.

автор: Alfred M

24 февр. 2020 г.

Some of the labs were cumbersome.

In another case a file name was inconsistent between the instructions and a script, easily corrected but maybe disorienting for some users.

автор: Miguel P F A F

18 нояб. 2019 г.

Great course. It is a great introduction to the basics of GCP as a foundation to ML. However, the last lab was not working well which, I believe, was only a temporary issue.

автор: Duy N

11 нояб. 2019 г.

A bit too basic course, but cover most of the fundamentals of GCP Big Data and Machine Learning. Would be actually much nicer if the course is a bit longer with more detail

автор: Rahul K

10 февр. 2018 г.

Could have presented better, giving overview of the architecture of all modules would have given us(students) better insight. We could co-relate things in much better way.

автор: Matthew M

14 янв. 2018 г.

Great course! Would have given a 5 star if videos were edited better (I feel you may have forgot to edit out some parts of a few videos - where errors occur for example)

автор: Seyd H

24 мая 2018 г.

Good course. Needs some updating as it would seem that some of Google's internal code is not provisioning correctly. Can be completed with a minimal amount of IT skills.

автор: Tushar G

9 июля 2019 г.

It was a good experience while learning with Google, but with this course they can go with much more basics like in the Practice session for more better understanding.

автор: Johny J

28 нояб. 2018 г.

Basic understanding of all the tools available from Google Cloud for Big data and machine learning. Really informative for knowing the right tools for the right jobs.

автор: Sandro B

6 мар. 2019 г.

Great introduction course! Please be more explicit in the Quiklabs integration in Coursera since is not easy to know how we need to "Run the Steps" and pass the labs

автор: Oleg L

18 авг. 2018 г.

The course was great, except for the issue with lab completion - had to do two labs twice. Well, at least I will remember the steps better - practice makes perfect.

автор: venkata r

3 мая 2021 г.

Very learning platform and nicely design the lab. But learner or student has to concentrate on this Detailed topics which they provided Resources. Thanks to GCP.