BigQuery for Data Analysts: Modern SQL Data Analytics

Organizations generate massive amounts of data, but raw data is only valuable when you can extract actionable insights from it. This text-only course teaches you how to leverage BigQuery, a powerful cloud data warehouse, to analyze large datasets quickly and efficiently. You will transition from basic spreadsheet analysis to writing optimized, high-performance SQL queries that handle millions of rows in seconds. You will master modern data analysis techniques and learn how to structure queries for maximum performance and cost efficiency. What you'll learn: - Understand foundational cloud data warehousing concepts and BigQuery architecture - Write efficient SQL queries using modern techniques like Common Table Expressions (CTEs) and window functions - Query complex data structures, including nested fields, JSON, and repeated records - Optimize query performance and manage database costs using partitioning and clustering - Connect BigQuery to external business intelligence tools for data visualization - Apply basic predictive analytics concepts using built-in machine learning capabilities The course begins with core definitions and interface navigation before guiding you through hands-on query writing, optimization strategies, and modern analytical patterns. Designed for aspiring data analysts, business analysts, and database beginners, no prior cloud database experience is required. Start reading today to unlock the full potential of your data with BigQuery.