Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- 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
Learning Roadmap
1.
Your First Queries and Tables
Your First Queries and Tables
Learn querying tables, understanding structures, and writing clear SQL prompts.
2.
Filtering and Sorting
Filtering and Sorting
Explore SQL filtering, sorting, and aliasing for clearer data insights.
3.
Aggregations and Business Metrics
Aggregations and Business Metrics
3 Lessons
3 Lessons
Master SQL aggregate functions and analysis techniques for insightful data interpretation.
4.
Connecting Data Across Tables
Connecting Data Across Tables
4 Lessons
4 Lessons
Practice SQL joins to effectively combine and analyze data across multiple tables.
5.
Subqueries
Subqueries
3 Lessons
3 Lessons
Master complex SQL queries using subqueries, CTEs, and multi-step planning.
6.
CRUD Operations in SQL
CRUD Operations in SQL
4 Lessons
4 Lessons
Handle data modification, table design, and safe SQL practices for effective analysis.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
Complete more lessons to unlock your certificate
Developed by MAANG Engineers
ABOUT THIS COURSE
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, aggregation, and subqueries to uncover deeper insights. Next, you’ll learn to create tables, insert and edit data, and design simple relational schemas. You’ll also build multi-table queries with joins and develop interactive, real-world reporting projects with AI as your copilot.
After completing the course, you’ll be able to approach data analysis challenges with confidence, combining SQL and AI to solve problems efficiently. You’ll have hands-on experience with end-to-end SQL workflows.
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