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.
SQL remains a core tool for data analysis, supporting everything from dashboards to large-scale analytics. In AI-assisted workfl...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
An understanding of SQL fundamentals and their application to data analysis
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Content
1.
Your First Queries and Tables
3 Lessons
Learn querying tables, understanding structures, and writing clear SQL prompts.
2.
Filtering and Sorting
3 Lessons
Explore SQL filtering, sorting, and aliasing for clearer data insights.
3.
Aggregations and Business Metrics
3 Lessons
Master SQL aggregate functions and analysis techniques for insightful data interpretation.
4.
Connecting Data Across Tables
4 Lessons
Practice SQL joins to effectively combine and analyze data across multiple tables.
5.
Subqueries
3 Lessons
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.
Certificate of Completion
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