Chevron Left
Zurück zu Google Cloud Big Data and Machine Learning Fundamentals

Bewertung und Feedback des Lernenden für Google Cloud Big Data and Machine Learning Fundamentals von Google Cloud

14,051 Bewertungen
2,443 Bewertungen

Über den Kurs

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....


2. März 2019

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.

21. Jan. 2021

Touched down on every aspect required on roadmap to Machine Learning along with big data. This will help to get which flavor suits or you find it interesting and then follow on next course of action.

Filtern nach:

2301 - 2325 von 2,426 Bewertungen für Google Cloud Big Data and Machine Learning Fundamentals

von Mahir A A K

14. Juni 2020

Contents were really amazing but please please update GCP labs or instructions. Then the true value will hold.

von Caleb H

6. Jan. 2018

Light on actual hands-on work, heavy on lecture videos (though thankfully can be sped up and have subtitles).

von Sander v D

14. Okt. 2020

It was ok, enjoyed the first lectures but not really the last. Maybe because my expectations were different.

von Starr B

12. Nov. 2020

Not really sure it was the best course for Analyst. Hope the next recommendation is a better option.

von Matt H

23. Aug. 2020

Good overview, but too much spoonfeeding. Too easy to get through the course without using your brain

von Armando K

12. Juli 2019

This trainning is very good, but it's necessary more time to do exercises to fix better the contents

von André S F

26. Okt. 2017

Some parts in the final chapters could be either better or slowly explained, but the overall is ok.,

von Andrew P T

17. Juni 2019

one lab was broken. also, don't use passwords with % symbols in them for any of the pyspark labs.

von Vivek P

22. Aug. 2020

I expected to get a completion certificate at the end of this course for my hard work and pace.

von Rune M

5. Juni 2017

Not as structured as the other Google Fundamentals course. I got a little confused at times.

von Miguel R

26. Dez. 2017

It is very slow at the beginning, too much small talk, it is hard to stay focused that way.

von Joe G

13. Apr. 2017

LOVED but wish it would have been more in depth and less of an overview of other services

von Tes90

8. Juli 2019

Not really helpful for learning specific skills, more like an advertisement of GCP.

von Dimitrios E

17. Feb. 2019

Decent introduction, I was expecting more content and more hands-on practice though

von Yoshiaki N

1. Okt. 2018

Almost all are okay. But some instructions in Japanese are wrong. So I wasted time.

von Kauker Z

8. Mai 2018

Too beginner level, lot of waiting for recreating the Compute Engine instances...

von Yury P

11. Apr. 2020

The course is theoretical and most of labs are just running pre-built solutions.

von Vicente G d S

22. Feb. 2019

Course was good but an error on dataproc custed me 3 days wainting to finish it.

von Kamalesh R

25. Nov. 2019

A little toaster science. Went through exercises, but didn't absorb materials.

von Farshid A

24. Nov. 2018

There was an unnecessary amount of technicalities that were poorly explained.

von Punsiri B

19. Feb. 2020

Module review should contains more question, so that student can study more.

von Navneet K

17. Aug. 2019

Lab is a bit scratchy and i was facing trouble in submitting the assignments

von Ivan v

8. Apr. 2021

Achei muito comercial e muitas coisas já estavam prontas sen ter q pensar

von Gheorghe G

27. Apr. 2021

Class is outdated. Labs instructions do not match exactly GCP interface.

von 王煜杰

4. Apr. 2017

花了2天过了一遍, 无脑跟着流程走就行了, 本来期待介绍怎么用cloud ml, 结果居然是用datalab(notebook)来讲的...