Learn SQL in the Age of AI

Learn SQL step by step with AI as your copilot. Build real-world projects, practice prompting, and develop a portfolio that showcases your data analyst skills.

Beginner

20 Lessons

2h

Updated 1 week ago

Learn SQL step by step with AI as your copilot. Build real-world projects, practice prompting, and develop a portfolio that showcases your data analyst skills.

AI-POWERED

Code Feedback
Explanations
Prompt

AI-POWERED

Code Feedback
Explanations

This course includes

51 AI Prompts
72 Playgrounds

This course includes

51 AI Prompts
72 Playgrounds

Course Overview

SQL remains a core tool for data analysis, supporting everything from dashboards to large-scale analytics. In AI-assisted workflows, it becomes easier to use as AI helps refine queries and streamline exploration. This approach introduces SQL to beginners while demonstrating how AI supports practical data analysis workflows. You’ll learn how to query a database to retrieve meaningful answers, select columns, filter rows, sort results, and apply logic to interpret raw data. You’ll explore grouping, aggregati...Show More

What You'll Learn

An understanding of SQL fundamentals and their application to data analysis

A working knowledge of selecting, filtering, grouping, and aggregating data in SQL

Hands-on experience solving real-world data scenarios with AI-assisted SQL workflows

The ability to design basic relational schemas and manipulate database tables

Familiarity with multi-table queries, including joins and subqueries, for extracting insights

Experience building SQL projects supported by AI, culminating in a portfolio-ready capstone

What You'll Learn

An understanding of SQL fundamentals and their application to data analysis

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Course Content

1.

Your First Queries and Tables

Learn querying tables, understanding structures, and writing clear SQL prompts.
2.

Filtering and Sorting

Explore SQL filtering, sorting, and aliasing for clearer data insights.
3.

Aggregations and Business Metrics

Master SQL aggregate functions and analysis techniques for insightful data interpretation.
4.

Connecting Data Across Tables

Practice SQL joins to effectively combine and analyze data across multiple tables.
5.

Subqueries

Master complex SQL queries using subqueries, CTEs, and multi-step planning.
6.

CRUD Operations in SQL

4 Lessons

Handle data modification, table design, and safe SQL practices for effective analysis.

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