Packt

Cloud Analytics with Google Cloud Platform

Packt

Cloud Analytics with Google Cloud Platform

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace

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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Recently updated!

February 2026

Assessments

9 assignments

Taught in English

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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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