SQL for Data Analysis
Data lives in databases, and SQL is how analysts talk to it. This module builds real SQL fluency — from SELECT statements through window functions — the skill most consistently tested in analyst interviews.
What You Will Learn
A detailed, industry-aligned breakdown of every topic covered in this module.
- Relational databases & SQL fundamentals
- SELECT, WHERE, ORDER BY & filtering data
- JOIN, GROUP BY & aggregate functions
- Subqueries & CTEs
- Window functions for analysis
- Writing queries for business reporting
- Database design basics
- Query optimization fundamentals
Tools You Will Use
Hands-on time with the same tools used by working business and data analysts today.
SQL
Query language used to extract, filter and aggregate data from relational databases.
MySQL / PostgreSQL
Relational database systems used to store and query structured data.
pgAdmin
Database management tool used to write, run and organise SQL queries visually.
Hands-On Labs
Production-style data analytics lab scenarios, built using real business datasets.
Write SELECT, WHERE and ORDER BY queries to filter and sort a real business dataset.
Join multiple tables and aggregate results using GROUP BY.
Write subqueries and CTEs to answer multi-step business questions.
Use window functions to calculate running totals and rankings.
Write and optimise a business reporting query against a real database.
Assessment
Knowledge Assessment
Quiz covering JOINs, GROUP BY, subqueries and window functions.
Practical Evaluation
Students must write a set of SQL queries that answer real business reporting questions against a relational database.
Projects
Industry-style deliverables added directly to your project portfolio.
SQL Business Reporting Queries
Write SQL queries that extract and aggregate business data directly from relational databases.
What This Module Builds
Students learn to write efficient SQL queries to extract and aggregate business data directly from relational databases.