Join our Power BI Masterclass to master data modelling, dashboards, and visualization for real business impact.
| Date | Venue | Duration | |
|---|---|---|---|
| 09 - 11 September 2026 | Sandton, Gauteng | 3 Days |
Please note: This is not a final registration, one of our team members will contact you shortly to finalise your registration.
This comprehensive Microsoft Power BI Masterclass program 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 visualization and report sharing via Power BI services. This program is ideal for anyone looking to transform data into actionable business insights with confidence.
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 visualizations using a variety of chart types and visual elements.
Publish and share reports securely via Power BI Service.
Utilize advanced Power BI service features such as dashboards, workspaces, and report scheduling.
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.
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.
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.
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 summarization.
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.
Lab: Connecting and shaping data with Power BI Desktop.
Data Modelling
Introduction to database normalization 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.
Lab: Building effective data models.
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.
Utilizing key DAX functions and operators.
Creating dynamic measures and calculations.
Working with DAX tables and filter contexts.
Introduction to writing DAX queries.
Lab: Practical DAX formula development.
Data Visualization Techniques
Overview of visualization options in Power BI.
Creating and customizing charts, tables, and matrix visuals.
Using slicers for interactive filtering and user-driven customization.
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.
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