Modern SQL for Data Analysts: BigQuery in the AI Era

Build real-world SQL skills using BigQuery. Learn how to write, optimize, and debug queries in modern data workflows sha

Description

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 logic

• Spot errors and bad assumptions in AI-generated SQL

• Speed up your data work by blending prompting and hands-on writing

• Build SQL workflows that are readable, testable, and production-friendly

This course is for:

• Analysts, PMs, and engineers working with data

• Beginners who want to skip fluff and learn how things actually work

• Professionals using AI tools who want to prompt smarter

• Anyone reviewing, modifying, or debugging AI-generated SQL

You’ll write code that makes sense. You’ll move faster with AI. And you’ll finally understand what’s going on under the hood.

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