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Back to Google Cloud Platform Big Data and Machine Learning Fundamentals

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

4.6
4,922 ratings
916 reviews

About this Course

***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!...

Top reviews

By 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.

By CR

Dec 27, 2017

This was a great course to understand at a high level how to design and create my data ecosystem and how to do it sustainably. Hopefully, next courses provide more in-depth the technical features.

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907 Reviews

By Suranjan Daw

Mar 22, 2019

The course is awesome. I learned a lot of new things. Thank You.

By Kristof Fellegi

Mar 22, 2019

Great course! Nicely curated lessons, following each other in a logical order.

By Rakesh Reddy Gopidi

Mar 21, 2019

well structured and organized course content

By Abul Basar

Mar 21, 2019

The labs scores are confusing. I completed the labs, but it says incomplete for 2 labs. There is no explanation whats how the labs are graded and what are expected to complete.

By Oleksandr Artamonov

Mar 21, 2019

Some labs had missing files that had to be processed in girt repository, especially the ML with datalab course.

By Pawel Piwowarek

Mar 20, 2019

A great intro to GCP ML.

By Wayne Gakuo

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

By Musaazi Joshua

Mar 19, 2019

Very nice the time allocation is perfect

By NIKHIL PRADIP MANGIRE

Mar 19, 2019

Nice introductory course, Clear path of learning.

By Segun Olumide

Mar 18, 2019

I enjoyed every training so far it was easy to follow and straight to the detail, I'm more confident about GCP and Machine Learning and will love to do more practice and experiments on my own. Thanks for the journey:)