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

• Design and deploy scalable cloud architectures for data-driven applications
• Build and integrate RESTful web services within distributed systems
• Implement big data workflows using Hadoop and Spark frameworks
• Apply containerization and virtualization for efficient cloud deployment

• Basic familiarity with the topic and its common terminology
• Readiness to practice through applied exercises or case-based work