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SQL for Data Careers

SQL for Analysis & Portfolio Practice

Move beyond SQL syntax: define analytical populations, protect metric grain, diagnose JOIN errors, validate results, and explain business meaning.

6 substantial public lessons Application · judgment · explanation 20–40 minutes per topic
Path overview

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.

Structured topic sequence Realistic business context Progress you can return to

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.

Course curriculum

Topics and practical lessons

Select any topic to open its dedicated details and practice page.

01
Available

SQL for Analysis: Application and Judgment

7 topics
02
Paid

Filtering, Sorting, and Clean Query Writing

3 topics
03
Paid

Aggregations and Business Metrics

3 topics
04
Paid

SQL Joins for Real Analysis

3 topics
05
Paid

CTEs and Subqueries

3 topics
06
Premium

Window Functions

3 topics
07
Premium

SQL Portfolio Project: E-Commerce Sales Analysis

4 topics
08
Premium

SQL Portfolio Project: Construction Analytics

4 topics
Public learning

See how an experienced analyst approaches the problem.

Substantial explanations, worked examples, validation checks, challenges, interview follow-ups, and portfolio connections.

Guided practice

Now perform the analytical work yourself.

Datasets, progressive assignments, answer comparison, project development, assessment, and progress tracking where available.

Explore guided practice