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Cloud Computing for Data Science

This specialization equips learners with the essential skills to design, implement, and manage scalable data solutions using modern cloud technologies. Through three comprehensive courses, you’ll progress from foundational cloud computing concepts to advanced distributed systems and big data processing frameworks. You’ll begin by understanding cloud architecture, service models, and data infrastructure in Cloud Computing Fundamentals. Next, in Distributed Systems and Web Services, you’ll gain hands-on experience designing RESTful APIs, deploying containerized applications, and integrating virtualization technologies. Finally, in Big Data Processing with Hadoop and Spark, you’ll learn to manage large-scale data processing pipelines and real-time analytics using industry-standard tools. Designed for IT professionals, developers, and data practitioners, this course cluster bridges cloud engineering and data science, helping you build robust, data-driven applications that scale efficiently in the cloud.

Status: Virtualization and Virtual Machines
Status: Data Architecture
IntermediateSpecialization

Top reviews across Cloud Computing for Data Science

NW

Reviewed Jun 2, 2026

The last activity was a bit hard to follow, but I still got both parts done in 45 mins. The rest of the course was great.

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