Cloud Data Analysis: An End-to-End Workflow

Do you want to perform powerful data analysis without complex local setups or environment configurations? Modern data workflows leverage cloud services for speed, scalability, and collaboration. This course provides a foundational understanding of the modern cloud data stack. You will learn to integrate various cloud services—from storage and databases to notebooks and visualization tools—to execute a complete data analysis project, from raw data ingestion to final report generation. What you'll learn: * Understand the architecture and role of key cloud data services, including Object Storage and managed PostgreSQL. * Practice loading and manipulating large datasets within a collaborative, cloud-based notebook environment (DataSphere). * Apply exploratory data analysis (EDA) techniques to real-world datasets to uncover insights and trends. * Configure basic access controls and security principles for data stored in cloud Object Storage. * Design interactive dashboards and reports using cloud visualization tools (DataLens) for effective communication. * Learn best practices for saving and managing persistent data analysis results back into the cloud environment. We begin with fundamental cloud data concepts and defining the tools, then move step-by-step through setting up resources, executing analysis in the notebook environment, and concluding with building visualizations. This course is perfect for beginners in data analysis, data science, or business intelligence who want to start their journey using state-of-the-art cloud infrastructure. No prior experience with cloud platforms is required. Start building your practical cloud data analysis skills today.