# Power BI Data Analyst (PL-300) Exam Preparation

> Build Power BI reports and models and prepare to sit the Microsoft PL-300 Power BI Data Analyst exam.

- **Provider:** Afriskora Training Solutions
- **Category:** Data, AI & Digital Skills
- **Duration:** 5 days
- **Formats:** classroom (cities across Africa), live virtual (Zoom/Teams), in-house for teams
- **Certificate:** Afriskora Certificate of Completion, verifiable online
- **Prepares for:** PL-300 (Microsoft certifications); the exam is booked and sat separately with the certifying body
- **Booking:** request dates and a quote; invoice and EFT payment
- **Web page:** https://afriskora.co.za/courses/data-ai-digital/power-bi-data-analyst-pl-300-prep
- **Request dates:** https://afriskora.co.za/request-training?course=power-bi-data-analyst-pl-300-prep

## Overview

Power BI is one of the most requested data skills in African job adverts. This course covers the full PL-300 skills outline: preparing data, modelling, visualising and analysing, and managing workspaces. Participants build a complete reporting solution, practise with exam-style questions and leave ready to book the Microsoft exam.

## Who should attend

- Analysts and report developers
- Finance and M&E professionals
- Excel power users moving to Power BI
- Candidates for the PL-300 exam

## Learning outcomes

- Connect to, clean and transform data with Power Query
- Design star-schema data models
- Write DAX measures for business metrics
- Build and publish interactive reports
- Approach the PL-300 exam with a clear study plan

## Course outline

### Day 1: Prepare the data

- Power BI Desktop tour
- Connecting to data sources
- Power Query transformations
- Data profiling and quality

### Day 2: Model the data

- Star schema design
- Relationships and cardinality
- Calculated columns vs measures
- Date tables

### Day 3: DAX for analysts

- CALCULATE and filter context
- Time intelligence
- Iterators and variables
- Performance tips

### Day 4: Visualise and analyse

- Report design
- Drill-through and bookmarks
- AI visuals and analytics
- Row-level security

### Day 5: Deploy and exam readiness

- Workspaces and sharing
- Refresh and gateways
- Practice exam questions
- Booking the exam