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Volver a Google Cloud Platform Big Data and Machine Learning Fundamentals

Google Cloud Platform Big Data and Machine Learning Fundamentals, Google Cloud

4.6
5,296 calificaciones
971 revisiones

Acerca de este Curso

***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $150! See below for details.*** This 1-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. SPECIALIZATION COMPLETION CHALLENGE As if learning new skills wasn’t enough of an incentive, we're excited to announce a special completion challenge for 'Data Engineering on Google Cloud Platform’ specialization. Here’s how it works: Our completion challenge runs through 11:59pm PT May 5, 2019. Complete any course in this Specialization including this one, anytime in this period and we'll send you 30 Qwiklabs credits for each course completed (upto $150 value given there are 5 courses in the specialization). You can use these credits to take additional labs and earn badges, which you can then add to your resume and social profiles. Your challenge awaits – begin learning on Coursera today!...

Principales revisiones

por 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.

por DK

Apr 08, 2019

This course provides the basics of Google Cloud Platform and makes us understand Google Products and services on Cloud. I would love to explore GCP more and will opt for the remaining GCP courses.

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961 revisiones

por Egide

Apr 22, 2019

I understood the science behind the Big Data and how it works , Thanks

por Omar Trejo

Apr 21, 2019

Solid fundamentals.

por Saswata Haldar

Apr 21, 2019

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

por Ahmed Seemal

Apr 21, 2019

Wonderful Course. It gives GCP console to try out extensive practice which comes bundled.

Which is an incredible experience and real time learning curve. Thanks to Google team for empowering talents through real means and a big thanks to coursera for having an amazing course part of their catalog.

por Swati Singh

Apr 21, 2019

Thoroughly enjoyed the course. The course starts at a very basic level familiarizing you with various GCP offerings and makes you comfortable to use the platform. Looking forward to complete the rest of the courses in this specialization for more in depth knowledge of the different services.

por Pamela Kinga Gill

Apr 21, 2019

Very simplified introduction to the GCP suite of tools

por Anshul Kumar

Apr 20, 2019

Good instructor, good content. Labs occasionally have stretch goals, which is great.

por Erick Leonardo Saenz Pardo

Apr 19, 2019

Great course to know more about the gcp data services.

por Oscar Arturo Bringas López

Apr 19, 2019

bastante claro y con excelentes prácticas!

por Arturo Castañeda

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.