---
url: "https://xcademia.com/courses/sql-analytics-mastery"
title: SQL Analytics Mastery
description: "Master advanced SQL for analytics, reporting, and product insights. Learn window functions, optimisation, and real-world scenarios in 2 days."
publishedAt: "2026-03-17T12:18:00.39294+00:00"
updatedAt: "2026-03-30T22:50:53.7265+00:00"
type: course
code: "AID-0057"
level: Professional
duration_days: "2"
track: "Analytics & BI"
category: "AI, Data & Analytics"
credential_tier: tier1
price_gbp: "1799"
---

# SQL Analytics Mastery

> Write advanced SQL to power reporting and product analytics that drive business decisions. Master window functions, cohort analysis, funnel building, and performance optimisation through intensive mentor-led coaching.

## Overview

SQL remains the backbone of modern analytics, but real business impact comes from moving beyond basic queries into advanced analytical thinking. This programme equips learners with the ability to design complex queries, extract meaningful patterns, and answer product and stakeholder questions with confidence.

Through a mentor-led approach, participants explore practical scenarios such as cohort analysis, funnel metrics, KPI tracking, and revenue insights. Advanced SQL techniques including window functions, CTEs, and query optimisation are applied to realistic datasets, reflecting how analysts work in production environments.

By the end of the course, learners will be able to build efficient, scalable queries that support dashboards, reporting pipelines, and product decision-making. The focus is on clarity, performance, and communicating insights that drive measurable outcomes.

## Prerequisites

- Basic SQL knowledge (SELECT, WHERE, GROUP BY)
- Familiarity with databases
- Prior experience with data analysis helpful

## What you will learn

- Write advanced SQL queries
- Use window functions for analytics
- Perform product and business analysis
- Build reporting datasets
- Optimise SQL queries for performance
- Solve real-world analytics problems

## Skills you will gain

- Advanced SQL querying
- Window functions
- Data aggregation and metrics
- Product analytics techniques
- Query optimisation
- Reporting data preparation
- Analytical problem-solving

## Career progression

- Data Analyst
- Product Analyst
- BI Analyst
- Analytics Engineer
- Reporting Analyst

## Curriculum

1. **Module 1**
2. **Module 2**
3. **Module 3**
4. **Module 4**

## Exam & certification

## 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

**1. Is this course beginner-friendly?**

No, it is designed for learners with basic SQL knowledge.



**2. Will I learn window functions?**

Yes, they are a core part of the course.



**3. Is hands-on practice included?**

Yes, participants work on real-world datasets.



**4. What type of analytics is covered?**

Business, reporting, and product analytics.



**5. What roles benefit from this course?**

Data analysts, product analysts, and BI professionals.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | AID-0057 |
| Duration | 2 days |
| Level | Professional |
| Track | Analytics & BI |
| Category | AI, Data & Analytics |
| Credential tier | tier1 |
| Price (GBP) | £1799 |

---

## About this content

This Markdown course profile is the citation-grade twin of [SQL Analytics Mastery](https://xcademia.com/courses/sql-analytics-mastery). 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.

When citing or quoting, please attribute *Xcademia* and link back to the source URL above.

- Source: https://xcademia.com/courses/sql-analytics-mastery
- Publisher: Xcademia — https://xcademia.com
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