Microsoft Power BI Masterclass

Master Data Modelling, Dashboards, and Visualisation for Real Business Impact

Platform:

Online

In-class

Revised and Updated: 23 October 2026

Date	Venue	Duration
30 November - 04 December 2026	Sandton, Gauteng	5 Days
11 - 13 January 2027	East London, Eastern Cape	3 Days
05 - 09 April 2027	Live/Online	5 Days
21 - 23 July 2027	Sandton, Gauteng	3 Days
13 - 17 September 2027	Sandton, Gauteng	5 Days

Course Introduction

This comprehensive Microsoft Power BI Masterclass programme is designed to empower participants with the essential knowledge and practical skills to effectively leverage Microsoft Power BI, a leading business intelligence platform. Participants will learn to connect to diverse data sources, build robust data models, design interactive and insightful dashboards, and generate compelling reports. Through hands-on exercises and real-world scenarios, the course covers the full business intelligence workflow — from data preparation and modelling to visualisation and report sharing via Power BI Service. This programme is ideal for anyone looking to transform data into actionable business insights with confidence.

Course Objectives

By the end of this Microsoft Power BI Masterclass, participants will be able to:

Comprehend the end-to-end business intelligence workflow
Connect and integrate multiple data sources using Power BI Desktop
Perform advanced data modelling and define relationships between tables
Write and apply DAX (Data Analysis Expressions) formulas to create dynamic calculations
Design compelling and interactive data visualisations using a variety of chart types and visual elements
Publish and share reports securely via Power BI Service
Utilise advanced Power BI Service features such as dashboards, workspaces, and report scheduling

Who should attend?

This Microsoft Power BI Masterclass is ideal for a broad spectrum of professionals, including but not limited to:

Individuals seeking practical, hands-on experience with Microsoft Power BI Desktop
Data Analysts and Excel users aiming to enhance their skills in data modelling, dashboard creation, and business intelligence
Data Scientists and AI Engineers who want to integrate BI tools into their workflows
Business Intelligence (BI) Specialists looking to deepen their Power BI expertise
Managers and decision-makers who want to harness BI tools to drive better business outcomes

Training Methodology

Our diverse instructional approaches ensure effective learning:

– Lectures & Presentations: Engage with expert-driven, stimulating content.
– Course Material: Access well-crafted supporting resources.
– Group Work: Collaborate on discussions and case studies for practical insights.
– Workshops & Role-Play: Participate in immersive, scenario-based activities.
– Practical Application: Focus on applying theoretical knowledge in real situations.
– Post-Training Support: Receive extensive support after training for skill implementation.

Training Outline

Day 1 — Introduction to Power BI and Connecting to Data Sources

Introduction to Power BI

Understanding Business Intelligence fundamentals
Overview of Self-Service Business Intelligence (SSBI) tools
Comparing traditional BI with modern Power BI capabilities
Components and architecture of Power BI
Installing and setting up Power BI Desktop
Overview of the Power BI workflow

Connecting to Data Sources

Understanding data connectors and supported data sources
Importing data from CSV, Excel (XLSX), and Microsoft SQL Server databases
Navigating the Power Query Editor interface

Day 2 — Data Exploration and Transformation with Power Query Editor

Data Exploration and Transformation with Power Query Editor

Data cleansing and transformation techniques
Using number- and date-specific transformation tools
Adding index and conditional columns
Grouping data for summarisation
Pivoting and unpivoting data tables
Merging and appending queries for data consolidation
Managing data source settings and refresh configurations
Best practices for query editing in Power BI
Practical Exercise: Lab: Connecting and shaping data with Power BI Desktop

Day 3 — Data Modelling

Data Modelling

Introduction to database normalisation concepts
Differentiating Fact tables and Dimension (Lookup) tables
Creating and managing table relationships within Power BI
Understanding Star vs. Snowflake schema designs
Managing active and inactive relationships
Working with multiple related tables
Implementing filtering and cross-filtering in reports
Hiding unnecessary fields from report views
Practical Exercise: Lab: Building effective data models

Day 4 — Mastering DAX (Data Analysis Expressions)

Mastering DAX (Data Analysis Expressions)

Core concepts and importance of DAX in Power BI
DAX syntax, data types, and formula writing best practices
Calculation types: calculated columns vs. measures
Utilising key DAX functions and operators
Creating dynamic measures and calculations
Working with DAX tables and filter contexts
Introduction to writing DAX queries
Practical Exercise: Lab: Practical DAX formula development

Day 5 — Data Visualisation Techniques, Power BI Service and Collaboration

Data Visualisation Techniques

Overview of visualisation options in Power BI
Creating and customising charts, tables, and matrix visuals
Using slicers for interactive filtering and user-driven customisation
Mapping data visually on geographic maps
Implementing gauges, KPIs, and single number cards
Formatting visuals: colour themes, shapes, text boxes, and images
Designing report pages and layouts
Creating bookmarks for storytelling and navigation
Building mobile-friendly reports
Introduction to row-level security for data access control

Power BI Service and Collaboration

Publishing reports from Power BI Desktop to Power BI Service
Creating and managing workspaces for collaborative projects
Differentiating dashboards from reports in Power BI Service
Sharing reports and dashboards securely with stakeholders
Using Power BI Q&A for natural language querying
Scheduling report refreshes and data updates

Course Categories

Office Administration Courses ❯ Audit, Risk And Governance ❯ Compliance Courses ❯ Finance Courses ❯ Human Resources Training & Development ❯ View All Course Categories ❯

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FAQs –Microsoft Power BI Masterclass

Master the complete Microsoft Power BI workflow, learning end-to-end data transformation, advanced DAX modeling, interactive dashboard design, and enterprise-grade analytics publishing for decision-making.

What is covered in the Microsoft Power BI Masterclass Training?

The course covers end-to-end business intelligence mastery: M-code in Power Query, complex Star Schema data modeling, advanced DAX (CALCULATE, EARLIER, virtual tables), executive dashboard UI/UX design, Row-Level Security (RLS), and deployment in Power BI Service.

Who should attend the Microsoft Power BI Masterclass?

This comprehensive masterclass is designed for data analysts, BI developers, financial controllers, operations managers, and IT professionals who want to achieve complete mastery over corporate reporting, data modeling, and enterprise analytics deployment.

How deep does the course dive into DAX and Data Modeling?

The masterclass provides in-depth coverage of DAX architecture, evaluating filter and row contexts, dynamic calculation modifiers, time intelligence, parent-child hierarchies, and optimizing data model performance for enterprise-scale datasets.

Does the masterclass address Power BI Service deployment and enterprise governance?

Yes. Participants learn how to configure workspaces, manage app distribution, set up automated gateway refreshes, implement Row-Level Security (RLS), and enforce data governance across organizational tenants.

Does the training include hands-on enterprise-level projects?

Yes. Attendees complete practical, real-world scenario labs where they build complete end-to-end BI solutions—from ingesting messy raw data to publishing interactive, secure executive dashboards.

Why is completing the Power BI Masterclass valuable for corporate decision-making?

Mastering end-to-end Power BI capabilities equips professionals to eliminate manual reporting overhead, integrate multi-departmental data streams seamlessly, and deliver real-time strategic insights across the enterprise.

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Microsoft Power BI Masterclass

Master Data Modelling, Dashboards, and Visualisation for Real Business Impact

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Training Outline

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