Master Microsoft Power BI for Data Analysis, Modelling, and Business Intelligence Dashboards
Gain practical Power BI skills to connect data sources, transform and model data, write DAX calculations, and design interactive dashboards � empowering you to deliver data-driven business intelligence across your organisation.
Microsoft Power BI for Data Analysis & Business Intelligence
Gain practical Power BI skills to connect data sources, transform and model data, write DAX calculations, and design interactive dashboards � empowering you to deliver data-driven business intelligence across your organisation.
Course Overview
Microsoft Power BI is one of the world's most powerful self-service business intelligence platforms, enabling organizations to transform raw data into meaningful insights and interactive dashboards. This practical training programme equips participants with the knowledge and hands-on skills required to connect to multiple data sources, transform and model data, perform advanced calculations using DAX, and build professional interactive dashboards that support data-driven decision-making. Participants will learn how to use Power BI Desktop, Query Editor (ETL processes), data modelling techniques, and interactive visualizations to create powerful analytical reports. The course combines theory, demonstrations, real-world datasets, and practical exercises, ensuring participants develop practical business intelligence skills that can immediately be applied in their organizations.
By the end of the programme, participants will be able to:
- Understand the Power BI ecosystem and the components of Power BI Desktop
- Connect Power BI to multiple data sources and import datasets
- Clean and transform data using the Power Query Editor
- Build structured data models using relationships and normalization principles
- Create calculated columns and measures using the DAX formula language
- Apply logical, mathematical, and time intelligence functions in Power BI
- Design interactive dashboards and reports using visualizations
- Apply filters, slicers, and drill-down capabilities for deeper data analysis
- Build dashboards that track business KPIs and performance indicators
- Apply best practices for data modelling, visualization, and dashboard design
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