SQL for Analysis & Portfolio Practice
Move beyond SQL syntax: define analytical populations, protect metric grain, diagnose JOIN errors, validate results, and explain business meaning.
What you will practice
The free path demonstrates how an experienced analyst approaches SQL work through realistic business questions, substantial worked examples, validation checks, challenges, interview follow-ups, and portfolio connections. Paid modules remain focused on independent execution, datasets, progressive assignments, complete projects, assessment, and structured practice.
These lessons and practice materials are provided for educational and portfolio practice purposes only. They do not guarantee employment, interviews, job offers, salary outcomes, visa sponsorship, or any specific career result.
Topics and practical lessons
Select any topic to open its dedicated details and practice page.
SQL for Analysis: Application and Judgment
Filtering, Sorting, and Clean Query Writing
Aggregations and Business Metrics
SQL Joins for Real Analysis
CTEs and Subqueries
Window Functions
SQL Portfolio Project: E-Commerce Sales Analysis
SQL Portfolio Project: Construction Analytics
See how an experienced analyst approaches the problem.
Substantial explanations, worked examples, validation checks, challenges, interview follow-ups, and portfolio connections.
Now perform the analytical work yourself.
Datasets, progressive assignments, answer comparison, project development, assessment, and progress tracking where available.
Explore guided practice