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Learner Reviews & Feedback for Google Cloud Platform Big Data and Machine Learning Fundamentals by Google Cloud

10,517 ratings
1,886 reviews

About the Course

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....

Top reviews


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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By Danish S

Jun 10, 2019

Good Course! The instructors are great and explain the concepts well. The new course 1 is definitely better than the older version.

However there is a long way to go to make these courses such that even a newbie can go thru them without a programming background. Please add courses that provide optional training to cover the background needed in e.g. SQL or Networking or Python programming. It would be very helpful if the instructors didn't copy scripts/templates and walked thru them step by step or at least have optional video to explain what they are doing in these

You guys need to direct people to follow these courses in a sequence - e.g. first do Data Analyst courses, then GCP Architect courses 1 to 5 to get basic understanding of the platform and then do Data Engineering courses.

More labs and lab time are needed to help build confidence. Challenges and solving problems by ourselves without having to worry about time limit on lab time would definitely make students more use to the platform.

By Jaume C

Oct 29, 2018

El contenido es adecuado y por ser un curso de introducción es bastante completo. Lo único que ha chafado el curso ha sido tener que hacer los labs varias veces a fin de conseguir la nota.

No he terminado de resolver por qué he tenido tantos problemas, la cuestión es que en los foros hay mucha más gente que ha tenido problemas semejantes. Al final esto entorpece el aprendizaje, si llevas un buen ritmo tener que hacer las cosas 3 y 4 veces parece un poco exagerado.

De todos modos, me llevo una buena experiencia ya que los problemas finalmente se han resuelto. Tengo que añadir que los problemas mencionados anteriormente creo que son más problemas de Quiklabs. La nota ya no me subía en su plataforma (aunque hiciese paso por paso la práctica), y por tanto, esa nota es la que se reflejaba en Coursera.