Data Engineering on Google Cloud Platform: Coursera courses
I’ve been heads down the past few weeks recording a bunch of Coursera courses that together form the Data Engineering on Google Cloud Platform specialization. Please enroll in these courses to learn how to ingest, transform, and learn from data on Google Cloud Platform:
- GCP Big Data and Machine Learning Fundamentals
- Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform
- Serverless Data Analysis with Google BigQuery and Cloud Dataflow
- Serverless Machine Learning with Tensorflow on Google Cloud Platform
- Building Resilient Streaming Systems on Google Cloud Platform
Fortunately, all I had to do was to talk into a microphone — my colleagues who are video production wizards did the rest. And of course, the product & engineering teams helped create the products that make GCP such a pleasure to use.
p.s. So, why are the courses paid? Three reasons: (1) Coursera needs to cover their costs — support their great platform by paying. (2) Think of it as a subtle nudge — we have noticed that completion rates for our paid courses are 5x more than completion rates for our free courses (75% vs. 15%). (3) The course fee will, once we iron out a few details, cover the cloud computing costs so you don’t have to use your own GCP project to try out the labs.

