Modern SQL for Data Analysts: BigQuery in the AI Era

About this course

This course teaches you SQL for the real world — sharp, hands-on, and built for working with AI-powered tools like ChatGPT, Copilot, and Gemini.Instead of just memorizing syntax, you'll learn how to think in SQL. That means you can write better prompts, sanity-check AI-generated queries, and deliver faster — because you actually understand what good SQL looks like.We use BigQuery and real ecommerce data to walk through each concept: selecting data, filtering, grouping, joining, aggregating, and building clean logic with CASE WHEN, subqueries, and CTEs.Disclaimer : We utilized AI voices to give you the most natural and easy to follow narration throughout the course.You’ll not only build technical skill, but also develop the reasoning and pattern awareness needed to interact effectively with AI systems in real workflows.By the end, you'll be able to:Communicate clearly with AI tools by understanding query logicSpot errors and bad assumptions in AI-generated SQLSpeed up your data work by blending prompting and hands-on writingBuild SQL workflows that are readable, testable, and production-friendlyThis course is for:Analysts, PMs, and engineers working with dataBeginners who want to skip fluff and learn how things actually workProfessionals using AI tools who want to prompt smarterAnyone reviewing, modifying, or debugging AI-generated SQLYou’ll write code that makes sense. You’ll move faster with AI. And you’ll finally understand what’s going on under the hood.

Course objectives

• Enhance your ability to communicate with AI tools
• Learn how to quickly identify errors in SQL
• Streamline your data analysis processes using SQL