SQL for Data Analytics with AI-Assisted Querying

Data-driven decision-making starts with the ability to talk to databases, and SQL remains the industry-standard language to do just that. This text-based course guides you from absolute beginner to confidently querying, analyzing, and manipulating data, while showing you how to use modern generative AI tools to write and optimize your queries faster. What you'll learn: - Learn SQL core fundamentals, including database structures, tables, and relationships. - Write clean queries using filtering, joins, and aggregations to extract key business insights. - Master advanced analytical techniques like Common Table Expressions (CTEs) and window functions. - Apply AI-assisted workflows to generate, debug, and document complex SQL queries efficiently. - Understand data modeling basics and how to structure databases for optimal analysis. - Practice database querying through written exercises designed to simulate real-world data analyst tasks. You will start with foundational database concepts and syntax before moving on to multi-table joins, aggregations, and modern analytical functions. Finally, you will explore how to integrate modern AI tools into your daily workflow to speed up query writing and troubleshooting. This course is designed for beginners with no prior programming or database experience who want to build a strong foundation in modern data analytics. Start reading today to unlock the power of data and supercharge your analytical skills.