---
url: "https://xcademia.com/courses/power-bi-training"
title: Power BI Training
description: "Learn Power BI with a mentor-led, practical course aligned to PL-300. Build dashboards, models, and insights for real business scenarios."
publishedAt: "2026-03-17T11:21:44.25617+00:00"
updatedAt: "2026-03-30T22:50:53.7265+00:00"
type: course
code: "AID-0049"
level: Practitioner
duration_days: "3"
track: "Analytics & BI"
category: "AI, Data & Analytics"
credential_tier: tier1
price_gbp: "1999"
---

# Power BI Training

> Build practical Power BI skills to prepare, model, and visualise data for real business scenarios. This mentor-led course uses practical scenarios to align with Microsoft PL-300 exam

## Overview

This programme is designed for professionals who want to turn data into meaningful insights using Power BI. You will learn how to connect, transform, and model data to support business decisions, with a strong focus on clarity, usability, and stakeholder value.

The course follows a structured, real-world approach aligned with the PL-300 certification expectations. You will explore data preparation, modelling techniques, visual storytelling, and report design while applying best practices used by modern data teams.

Through mentor-led sessions and practical scenarios, you will build confidence in delivering dashboards that are not only visually compelling but also analytically sound. By the end, you will be able to support self-service analytics and communicate insights effectively across business functions.

## Prerequisites

- Basic understanding of data concepts
- Familiarity with Excel or spreadsheets
- Interest in business analytics

## What you will learn

- Design effective Power BI dashboards
- Analyse datasets for business insights
- Implement data models using best practices
- Communicate insights to stakeholders clearly
- Evaluate data quality and transformations
- Lead reporting improvements using BI tools

## Skills you will gain

- Data transformation with Power Query
- Data modelling fundamentals
- DAX calculations basics
- Dashboard design principles
- Data visualisation techniques
- Report publishing workflows

## Career progression

- Data Analyst
- BI Analyst
- Reporting Analyst
- Business Analyst

## Curriculum

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

## Exam & certification

This programme is aligned with the official exam objectives. Exam registration and certification are managed directly by the awarding body.

## 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

**Do I need prior Power BI experience?**

No, basic data knowledge is sufficient to get started.



**Will I be ready for the PL-300 exam?**

Yes, the course is aligned with the exam objectives and prepares you effectively.



**Is this course practical or theory-based?**

It is highly practical with real-world scenarios and hands-on labs.



**Will I build a portfolio during the course?**

Yes, you will create dashboards and reports suitable for showcasing your skills.



**Can this help me transition into a data role?**

Yes, it builds core skills required for entry to mid-level data analyst roles.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | AID-0049 |
| Duration | 3 days |
| Level | Practitioner |
| Track | Analytics & BI |
| Category | AI, Data & Analytics |
| Credential tier | tier1 |
| Price (GBP) | £1999 |

---

## About this content

This Markdown course profile is the citation-grade twin of [Power BI Training](https://xcademia.com/courses/power-bi-training). 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/power-bi-training
- Publisher: Xcademia — https://xcademia.com
- Catalogue index: https://xcademia.com/llms-full.txt
