Cloud Computing for Data Science
About this course
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.
90/100
CourseAsk score
- What the provider tells you
- 39/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
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What you'll learn
- understand cloud architecture and service models
- design and implement RESTful APIs
- deploy containerized applications
- manage large-scale data processing with Hadoop and Spark
- conduct real-time analytics on big data
Course objectives
- equip learners to design and implement scalable data solutions
- bridge the gap between cloud engineering and data science
- develop robust, data-driven applications
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