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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: 11,941
Рецензии: 2,144

О курсе

This 2-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities. At the end of this course, participants will be able to: • Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform • Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform • Employ BigQuery and Cloud Datalab to carry out interactive data analysis • Choose between Cloud SQL, BigTable and Datastore • Train and use a neural network using TensorFlow • Choose between different data processing products on the Google Cloud Platform Before enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following: • A common query language such as SQL • Extract, transform, load activities • Data modeling • Machine learning and/or statistics • Programming in Python Google Account Notes: • Google services are currently unavailable in China. New! CERTIFICATE COMPLETION CHALLENGE to unlock benefits from Coursera and Google Cloud Enroll and complete Cloud Engineering with Google Cloud or Cloud Architecture with Google Cloud Professional Certificate or Data Engineering with Google Cloud Professional Certificate before November 8, 2020 to receive the following benefits; => Google Cloud t-shirt, for the first 1,000 eligible learners to complete. While supplies last. > Exclusive access to Big => Interview ($950 value) and career coaching => 30 days free access to Qwiklabs ($50 value) to earn Google Cloud recognized skill badges by completing challenge quests...

Лучшие рецензии


Mar 03, 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.


Sep 24, 2019

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.

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1476–1500 из 2,116 отзывов о курсе Google Cloud Platform Big Data and Machine Learning Fundamentals

автор: Konstantinos S

Jan 07, 2019

Overall a very good course. I would have liked a bit less "google is great" stuff and a bit more depth into their products, including an equivalence with AWS and Azure services. The labs were very interesting but some of them were repeated and a bit basic in the graded part (for instance the ML API lab tests whether I can clone a repo using a web interface and full instructions).

автор: Lin-Ying C

Jul 18, 2020

This course introduces fundamentals on how to use tools on Google Cloud Platform (GCP) to deal with big data processing and machine learning applications. It mainly focuses on how to use GCP, which is great if people are not familiar with it. However, if one wants to know more about data engineering or machine learning, this course might not be a good choice to start with.

автор: Louise C

Jul 16, 2020

I found this class to be at the right speed and length. Since I specialise in Machine Learning, the different methods to build a model were not new to me but I really enjoyed learning about the power of Data Proc, Data Flow and Pub/Sub and understanding more about the whole GCP architecture. I recommend this class to anyone that is a bit familiar with the GCP products.

автор: Eric L V

Sep 23, 2019

The course was a big light in scope. The final lab also has a problem in that if you click on the AutoML bolt-on application URL (from the labs START/END LAB page), you loose your credentials page and ability to finish the lab. The verbiage around starting up AutoML need to be much clearer -- e.g. 'copy the AutoML URL here, into your incognito browser'.

автор: stefano d p

Dec 30, 2017

materials could be updated to be in line with the labs. Moreover it would be nice to cut moments where the speaker got lost during the videos in order not to lose time (many times there were 20 sec of silence).

Other than that the course is great. It would be nice yo have more info about the certification (mainly about the structure of the exam)

автор: vinsent p

Aug 08, 2017

The realtime examples of the cine industry image processing was really good to see the power of GCP.

Some more in-depth example of query the cloud storage, and G C function should have added weight-age to the course, other wise the instruction are good to start the Google cloud.

More examples of using the google CLI should have been added.

автор: Duncan T

May 26, 2018

Better than I expected. I thought it would just be a massive advertisement, but there was actually some good and interesting content. I guess it helps when the api's your are promoting are really cool. The labs were helpful, but separate steps of lab 4 should have been combined. It took a long time for datalab to set up for a 15 min lab.

автор: Sonila K

Aug 14, 2018

**UPDATE 08/14**

Bumping the score by a point due to great tech/customer support.


The lab instructions could be clearer and the real time update of scores is not working for few of the labs that needs to be corrected. Content was good.

автор: Pradeep D M

Dec 05, 2018

The Tutor is very knowledgeable and provides a good mix of examples along with each chapter. However, the exercises are quite repetitive and seems like the gap between exercises and the lectures sometimes is too long. The user experience could be improved by using the same project across similar lab exercises with reduced setup time.

автор: Robert T

Sep 19, 2020

Disappointed with the week 2 lab, creating the data pipeline.

The instructions for connection BQ data to Data Studio, needs more explanation, when following the steps I got system errors on setting the date dimension to "dashboard_sort" a field in the BQ SQL summarizing statement. Posted to the forum hopefully someone will respond

автор: Jingjing W

Feb 23, 2020

This class has the fundamentals of GCP. It is pretty easy and all you need to do is follow the lab instruction and you can get the basic idea of using the google cloud services. However, there is no requirement for coding (mostly just copying the code). It is not recommended for advanced programmers who already know the services.

автор: Justin

Jul 25, 2018

It was a decent course, but in my opinion focused too heavily on delivering everything via video lecture with very little supplemental material (other than what's already available from Google Cloud's docs). I would have liked to see some challenges as well, rather than just labs that required you to "fill in the blanks"

автор: Felipe H d A B

Apr 26, 2020

Great course, gives a great overview of the resources, some labs are really good but the machine learning part is not that well, you just learn a bunch of stuff but actually don't practice it that much so it's actually just an overview which will you give more knowledge about the services but not actual experience.

автор: Berry J

Sep 03, 2018

Machine learning concepts are at a high level for a beginner as all the concepts used in lab are new. I was not able to 100% understand the code but just understood what can be done through Google Machine Learning support. In the lab we just ran the commands but couldn't understand the terminology or logic used.

автор: Mananai S

Dec 31, 2018

A good introduction to GCP. The course covers tools you need to do big data and ML. Instructor is an expert in this field. The labs are practical help you practice how to do the real work. I have experience in ETL, both SQL and NoSQL . Now, I am convinced that Cloud solution is better than the traditional way

автор: Trilok K

Apr 24, 2017

It's a short but good course. Good instructions and delivery. Good introduction to Big Data and ML on GCP. Would have liked more assignments as a formal requirement to complete the course. The codelabs are disconnected from the course. Glad to know other courses in the specialization are under development.

автор: Claudia C

Apr 15, 2020

The course was very very nice, with practical examples and good explanations, though the beginning can be improved for someone that did not work much with many services from GCP. Other than that, it is easy to go through, to get your skills from hands on examples and start new endeavors using GCP.

автор: Carl N

Apr 11, 2020

It was a good course for learning all the many Google Cloud Platform products and capabilities. As an introductory course, it doesn't provide enough depth to become proficient in a skill. It's exposures you to the highlight workflows, processes, and use cases of the various products and tools.

автор: Ruben S C

Apr 29, 2018

Me parece muy bueno el curso, pero por el momento hay algunos cambios en la plataforma practica, son detalles pero al momento de seguir las instrucciones, cambian algunos menús, se entiende que es por la constante actualizaciones de la plataforma web de GCP. (esto hace perder un poco de tiempo).

автор: John U

Jul 11, 2018

The courses themselves are very good. My only complaint is the scoring did not always reflect the completion of the course so I spent a lot of extra time trying to get the score to reflect my work. I had in fact completed the course and when I finally ended the course, it was reflected correct.

автор: Robert S

Oct 02, 2020

Excellent course, but did have a few technical issues. The only 2 questions in one section quiz had nothing to do with the section just completed. Even so, the class was very much worth my time. The lectures were very well presented and the labs did a good job of emphasizing the content.

автор: Fabio S

Jan 13, 2019

This course is very interesting and helpful, but the labs need some improvements as they can be quite confusing sometimes and I had a lot of technical issues. Another point for improvement is the support (from Google) for mobility as a lot of the labs were not working fine with IPad IOS

автор: Djs

Mar 17, 2017

Good introduction to using GCP services for machine learning. Utilizes google code labs for hands on exercises and outlines resources for further learning. Could use some improvement on quiz questions and course flow, 1 week 6 module format is different than many other MooCs.

автор: Prabhudev V

Jul 15, 2017

Very informative course and good introduction to diff products offered on Google Cloud. There are some content issues and video usage issues that can be fixed to make it even better. If you ignore these then this is the best course that you can take to get started on GCP.

автор: Suraj J

Sep 20, 2020

Provided a very good intro. I felt that there were too many new tools to remember. But i expect it is the same for anything else. It is challenging for a novice. For someone who is looking for a challenge , it is very easy. For me, it was somewhere in the middle.