---
url: "https://xcademia.com/courses/data-analyst"
title: Data Analyst
description: "Learn SQL analytics, KPI design, and dashboard thinking in this 4-day mentor-led Data Analyst course with practical scenarios and real-world insights."
publishedAt: "2026-03-17T10:53:32.339062+00:00"
updatedAt: "2026-05-12T12:08:07.029032+00:00"
type: course
code: "AID-0047"
level: Practitioner
duration_days: "4"
track: "Analytics & BI"
category: "AI, Data & Analytics"
credential_tier: tier1
price_gbp: "2199"
---

# Data Analyst

> Develop core data analysis skills using SQL, dashboards, and KPI design to turn raw data into business insights. Learn through mentor-led practical scenarios focused on real stakeholder questions and decision-making.

## Overview

This mentor-led Data Analyst programme equips learners with the practical skills needed to analyse data, design meaningful KPIs, and communicate insights effectively. The focus is on real-world business scenarios where data is used to answer stakeholder questions and drive decisions.

Participants will learn how to work with structured datasets using SQL, apply analytical thinking, and translate requirements into measurable metrics. The programme emphasises dashboard thinking, moving beyond charts to storytelling that aligns with business goals.

By the end of the course, learners will confidently approach data problems, structure analysis workflows, and present findings clearly to both technical and non-technical stakeholders. The programme is aligned with modern analytics practices used across data-driven organisations.

## Prerequisites

- Basic computer literacy
- Interest in data and analytics
- No prior coding experience required

## What you will learn

- Write SQL queries for data analysis
- Explore and analyse datasets effectively
- Design KPIs aligned with business goals
- Build dashboards for decision-making
- Translate stakeholder questions into insights
- Communicate findings clearly and effectively

## Skills you will gain

- SQL for data analysis
- Data exploration and cleaning
- KPI and metric design
- Dashboard development
- Data visualisation
- Stakeholder communication
- Insight generation

## Career progression

- Data Analyst
- Business Analyst
- BI Analyst
- Reporting Analyst
- Junior Analytics Engineer

## Curriculum

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

## 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?**

This is a Practitioner-level course; basic familiarity with data concepts is helpful.



**Do I need prior SQL knowledge?**

No, SQL fundamentals are covered from the ground up.



**What tools will be used?**

SQL environments and dashboarding concepts applicable across common BI tools.



**Will I build a portfolio project?**

Yes, you will complete a practical scenario that can support your portfolio.



**How is performance assessed?**

Through hands-on exercises, scenario simulations, and mentor feedback.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | AID-0047 |
| Duration | 4 days |
| Level | Practitioner |
| Track | Analytics & BI |
| Category | AI, Data & Analytics |
| Credential tier | tier1 |
| Price (GBP) | £2199 |

---

## About this content

This Markdown course profile is the citation-grade twin of [Data Analyst](https://xcademia.com/courses/data-analyst). 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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- Source: https://xcademia.com/courses/data-analyst
- Publisher: Xcademia — https://xcademia.com
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