This course offers a comprehensive guide to cloud analytics, focusing on the process of utilizing Google Cloud Platform (GCP) for processing and analyzing large-scale data. It is designed to equip learners with the knowledge required to harness cloud analytics tools, enabling businesses to extract actionable insights from big data.

Cloud Analytics with Google Cloud Platform

Recommended experience
What you'll learn
Explore the fundamentals of cloud analytics and major cloud solutions
Understand how organizations leverage cloud analytics to improve ROI
Design and implement an end-to-end analytics pipeline on the cloud
Details to know

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February 2026
9 assignments
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There are 9 modules in this course
In this section, we explore cloud analytics fundamentals, cloud computing models, and service levels (IaaS, PaaS, SaaS) to enable effective data management.
What's included
2 videos6 readings1 assignment
In this section, we explore cloud migration strategies, prerequisites for cloud deployment, and multi-provider architecture design to ensure effective cloud adoption and infrastructure planning.
What's included
1 video8 readings1 assignment
In this section, we explore GCP services, their purposes, and compare cloud vendor categories to guide effective tool selection for specific workloads.
What's included
1 video11 readings1 assignment
In this section, we explore cloud data ingestion and storage services, including Cloud Dataflow, Cloud Pub/Sub, and Cloud Storage, focusing on their use cases and practical implementation.
What's included
1 video10 readings1 assignment
In this section, we explore GCP services for data processing and visualization, including BigQuery, Cloud Datalab, and Data Studio, focusing on practical applications and real-world data workflows.
What's included
1 video10 readings1 assignment
In this section, we explore AI and machine learning on GCP, focusing on text classification, NLP pipelines, and cloud-based ML services with practical applications.
What's included
6 readings1 assignment
In this section, we explore GCP certification exam guides and service selection for cloud architecture and data engineering.
What's included
1 video5 readings1 assignment
In this section, we explore business use cases on GCP, focusing on real-time data architectures, data lakes, and recommendation systems. We analyze practical applications and end-to-end project planning using cloud services.
What's included
1 video5 readings1 assignment
In this section, we will learn about two prominent cloud vendors-Amazon Web Services (AWS) and Microsoft Azure.
What's included
4 readings1 assignment
Instructor

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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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Financial aid available,

