Data Analysis with Databricks SQL and AI/BI

Modern organizations store massive amounts of data in lakehouses, but extracting actionable insights quickly requires specialized tools. This course teaches you how to navigate Databricks SQL and leverage built-in AI/BI features to query, analyze, and present data effectively. You will transition from a traditional SQL user to a modern data analyst capable of working directly with lakehouse architectures. Through clear written explanations and structured queries, you will learn to write optimized SQL, build interactive dashboards, and configure AI-powered Genie spaces that answer business questions using natural language. What you'll learn: 1. Understand the core concepts of lakehouse architecture, Delta Lake, and data governance with Unity Catalog. 2. Write and optimize SQL queries using the Databricks SQL editor to extract and transform data. 3. Build dynamic, interactive AI/BI dashboards to visualize key performance indicators and business trends. 4. Configure and query Genie spaces to enable natural language data exploration for non-technical stakeholders. 5. Apply best practices for data organization, sharing, and performance tuning in a collaborative workspace. The course begins with foundational definitions of lakehouse structures and workspace navigation before moving into practical SQL syntax, dashboard creation, and AI integration. You will progress step-by-step through written explanations and conceptual exercises designed to build practical confidence. This course is designed for aspiring data analysts, business intelligence professionals, and SQL beginners looking to modernize their skills. No prior experience with Databricks is required, though a basic understanding of standard SQL concepts is helpful. Start reading today to unlock the power of AI-driven data analysis and elevate your business intelligence career.