Data Analytics on the Cloud: From Foundations to BigQuery

As organizations generate massive volumes of data, traditional spreadsheets and local databases can no longer keep up. Moving your data workflows to the cloud is the key to unlocking fast, scalable insights. This text-based course guides you through the entire data analytics workflow on a modern cloud platform. You will transition from manual data handling to automated, cloud-scale analysis, learning how to store, query, and transform data efficiently. What you'll learn: - Understand core cloud data concepts, warehousing architectures, and the analytical workflow - Write optimized SQL queries to filter, aggregate, and join large datasets in BigQuery - Ingest data from various sources and manage cloud storage securely - Design clean, efficient schemas using modern ELT (Extract, Load, Transform) pipelines - Connect your cloud data warehouse to business intelligence tools for interactive reporting - Explore modern analytics trends, including basic machine learning and vector search concepts inside the database You will start with fundamental cloud concepts and terminology before diving into practical SQL querying, data transformation, and pipeline design. Through written explanations and realistic code exercises, you will build a solid foundation in cloud data analytics. This course is designed for absolute beginners, aspiring data analysts, and business professionals looking to transition to cloud-based data workflows. No prior cloud or database experience is required. Start reading today to master the essentials of modern cloud data analytics.