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

What you'll learn

Learn how to write clean, structured SQL queries using BigQuery and real-world ecommerce datasets.

Understand how to sanity-check AI-generated SQL and identify common logic and performance issues.

Improve prompt engineering by thinking in SQL and communicating clearly with tools like ChatGPT or Copilot.

Build reliable analytics workflows using filters, joins, aggregations, subqueries, and CTEs.

Requirements

No prior SQL or programming experience required. You’ll need access to Google Cloud Platform with BigQuery enabled — a company account or personal free tier both work. Basic ability to navigate the GCP interface is enough.

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 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.

Overview

Section 1: Introduction and Setup

Lecture 1 Welcome to the Course

Lecture 2 Is It Really Worth Learning SQL in the Age of AI?

Lecture 3 Getting Started with BigQuery

Section 2: Foundation Level

Lecture 4 Introduction to the Foundation Level

Lecture 5 BigQuery UI Tour

Lecture 6 Writing SELECT and FROM Queries

Lecture 7 Filtering Basics

Lecture 8 Aggregating the Data

Lecture 9 Grouping Data with GROUP BY

Lecture 10 Creating Custom Columns

Lecture 11 Foundation Level Wrap Up

Section 3: Intermediate Level

Lecture 12 Introduction to the Intermediate Level

Lecture 13 Introduction to Joins

Lecture 14 Handling Duplicates

Lecture 15 Handling NULL Values

Lecture 16 Writing Conditional Logic with Case Statement

Lecture 17 Introduction to Subqueries

Lecture 18 Write cleaner code using CTEs

Lecture 19 Intermediate Level Wrap-up

Section 4: Master Level

Lecture 20 Master Level Overview

Lecture 21 Advanced Filtering Techniques

Lecture 22 Saving Results to BigQuery

Lecture 23 Introduction to Window Functions

Lecture 24 Writing Cost-Efficient Queries

Lecture 25 Clean SQL Code Principles

Lecture 26 AI-Powered SQL Development Workflow

Lecture 27 Course Wrap-Up

Data analysts and product managers who work with AI tools and want to understand, edit, and validate SQL code.,Junior professionals or career switchers learning SQL for the first time and want a hands-on, real-world approach using BigQuery.,Engineers and analytics leads who review or integrate AI-generated SQL and need to sanity-check and improve query logic.,Anyone working in tech or data teams who wants to write better prompts, understand query output, and move faster in AI-powered workflows.