Chevron Left
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

4.7
звезд
Оценки: 11,777
Рецензии: 2,114

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....

Лучшие рецензии

VS

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.

AD

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.

Фильтр по:

251–275 из 2,087 отзывов о курсе Google Cloud Platform Big Data and Machine Learning Fundamentals

автор: Luis A

Dec 31, 2017

This course gives a well guided introduction into the Google Cloud Platform.

You will understand the advantages and possibilities with GCP.

автор: Miguel Á V F

Jul 13, 2020

It's so good. Warning: it's so dense. May be you have to have time to re-do the labs because you'll learn much more if you made mistakes.

автор: Govardhan R Y

Sep 16, 2019

Right course to get started on Google Cloud Platform and high level walk through of the amazing, powerful tools that Google has to offer.

автор: Deven D

May 01, 2017

Great introduction to GCP Big data capabilities. I don't know why anyone would want to build their own HDFS cluster after watching this.

автор: Swaroop

Dec 09, 2019

one of the essential for starting google cloud data engineer exam. lak and all instructors explaining is great. especially lak is great.

автор: Arturo C

Apr 18, 2019

It is a great way to gain fundamental knowledge about the GCP Data offering and which services can be utilized over different scenarios.

автор: Manogna D

Oct 20, 2018

Excellent! Very well explained with good examples and labs are great with step by step instructions for beginners to learn and practice.

автор: Pornchai S

Apr 01, 2019

It's a good course for recomended for begining Data Engineer to learn and understand how to use BigData and ML on Google Cloud Platform

автор: Carlos L S

Apr 27, 2020

Un Excelente curso, que nos ayuda a comprender los conceptos básicos y con muchas ganas de seguir aprendiendo de esta gran plataforma.

автор: Cameron D

Feb 26, 2020

Great information mixed with practical examples to give a high level view of GCP and it's products as they relate to Data Engineering.

автор: Kiruthiga

May 05, 2019

It s really a very well explained courses about the basics of cloud platforms, difference between them and machine learning concepts..

автор: Mohit G

Mar 30, 2018

I found this course very informative. It helps you to learn fundamentals quickly. Thanks to Google team to make this course available.

автор: Jorge O L

Nov 20, 2017

Claro y conciso. Practicas bien llevadas. Ha cubierto todos los aspectos que quería ver en este curso introductorio. Muy recomendable.

автор: Darisetty S

May 26, 2019

I have acquired very good knowledge on big data and running tensorflow models in the cloud. A very big thanks to Coursera and Google.

автор: Yidong Z

Dec 24, 2018

Though it is the fundamental course or the introduction course, it helps me to understand what cloud platform could do for analytics

автор: Abhinav G

Jun 08, 2018

Try to add some real life examples and how google cloud platform and big data products like pub-sub and dataflow are useful for them

автор: Daniel S

Aug 21, 2017

The best of courses in the Coursera! Easy way to learn machine learning and BigData in GCP environment. The mentor is very teaching.

автор: PRAFULLA K D

Apr 18, 2020

Very Good one I learn many more new tech and Interested to apply in my upcoming project....Thanks Google and Coursera learning team

автор: Javier G A

Apr 18, 2020

Interesting starting point for Big Data and Machine Learning learning with valuable and clear examples using Google Cloud Platform.

автор: Florian S

Nov 21, 2018

The Videos of the last Chapter didn't load in the browser, I had to download them on the computer to watch them, this was annoying.

автор: Scott C

Jul 25, 2017

Great intro and hands on training. Just enough to help me understand how these pieces fit together. Cant wait for the next class.

автор: Sweeti B

Apr 14, 2017

This Course is great! Helps in understanding basics of big data and ML. Shows how easy it is to process data using google services.

автор: Durgesh V

Apr 21, 2020

It was an great experience for completing this course.The course instructors are quite amazing and they are giving great exposure.

автор: Nerio J M P

Jun 11, 2019

Buena introducción. Ahora tengo un panorama más amplio sobre como aplicar soluciones de machine learning en la industria. Gracias.

автор: Wayne G

Mar 20, 2019

Really appreciated the fact I learnt a lot about Big Data and how to leverage on Machine Learning to make sense of large data sets