---
url: "https://xcademia.com/courses/advanced-sql"
title: "Advanced SQL "
description: "Master advanced SQL queries, window functions, and optimisation techniques through mentor-led labs and practical database analysis scenarios."
publishedAt: "2026-03-18T04:39:03.192808+00:00"
updatedAt: "2026-05-12T12:09:57.243983+00:00"
type: course
code: "AID-0065"
level: Practitioner
duration_days: "2"
track: "Python, R & SQL for Data"
category: "AI, Data & Analytics"
credential_tier: tier1
price_gbp: "1799"
---

# Advanced SQL 

> Develop advanced SQL querying skills including complex joins, analytical queries, and performance optimisation techniques. This mentor-led course uses practical scenarios to help professionals analyse data efficiently and improve database query performance.

## Overview

SQL remains one of the most essential skills for working with data across analytics, engineering, and business intelligence roles. This course helps learners move beyond basic queries to advanced techniques used in professional data analysis and reporting environments.

Across two mentor-led days, participants work through practical scenarios involving complex joins, window functions, subqueries, and query optimisation strategies. The course focuses on writing efficient queries that scale well with large datasets.

Learners will also explore indexing concepts, query execution behaviour, and practical performance improvement techniques. By the end of the course, participants will be able to design advanced SQL queries and optimise database interactions used in analytical and operational systems.

## Prerequisites

- Basic knowledge of SQL queries.
- Familiarity with relational database concepts.
- Experience writing SELECT queries.

## What you will learn

- Design complex SQL queries for analysis
- Analyse datasets using advanced SQL techniques
- Implement window functions and analytical queries
- Evaluate database query performance issues
- Optimise SQL queries using indexing strategies
- Communicate insights using structured query outputs

## Skills you will gain

- Advanced SQL querying
- Window functions usage
- Query optimisation techniques
- Complex joins and subqueries
- Query performance analysis
- SQL analytical reporting

## Career progression

- Data Analyst
- Business Intelligence Developer
- Data Engineer
- Database Analyst

## Curriculum

1. **Module 1**
2. **Module 2**
3. **Module 3**

## Exam & certification

You will receive an Xcademia certificate of completion based on participation and successful completion of labs and scenario simulations.

## Delivery options

- **Live Online** — Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- **Onsite Training** — We come to you. Training delivered at your workplace for teams of 6 or more.
- **Venue-Based** — Classroom training at a professional venue. Ideal for focused, immersive learning.
- **Blended** — Combine online and in-person learning for maximum flexibility and impact.

## Frequently asked questions

**Is this course suitable for beginners in SQL?**

No, learners should already understand basic SQL queries before joining.



**Which databases will the course use?**

The concepts apply across major databases such as PostgreSQL, MySQL, SQL Server, and similar relational systems.



**Will we learn SQL performance optimisation?**

Yes, the course includes practical optimisation techniques and query performance analysis.



**Is this useful for data analyst roles?**

Yes, advanced SQL is a core skill for data analysts and business intelligence professionals.



**Do participants receive a certificate?**

Yes, participants receive a Certificate of Completion after successfully finishing the course.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | AID-0065 |
| Duration | 2 days |
| Level | Practitioner |
| Track | Python, R & SQL for Data |
| Category | AI, Data & Analytics |
| Credential tier | tier1 |
| Price (GBP) | £1799 |

---

## About this content

This Markdown course profile is the citation-grade twin of [Advanced SQL ](https://xcademia.com/courses/advanced-sql). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite.

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