The course begins with core concepts, including data connectivity, data transformation using Power Query Editor, interactive dashboards and reports and explore advanced topics such as relational data modelling, DAX (Data Analysis Expressions) for complex calculations, performance optimization techniques, row-level security (RLS). The curriculum also covers dataflows, deployment pipelines, and integration with other Microsoft tools.
Audience Profile
The course is intended for business analysts, data professionals, IT specialists, and decision-makers seeking to transition from operational Power BI usage to expert-level proficiency in analytics solution development.
Course Outline
- Power Query Editor– expert level
- Data connectivity – files vs databases
- Import vs direct query /live connection
- Demo Tabular models vs Multidimensional data models
- Data connectivity – Tabular models vs Multidimensional data models
- DAX differences when using Import compared to Direct Query/Live Connection and the impact on calculations
- Calculated columns vs Measures
- Power BI advance topics: Drillthrough, Visual interactions, Types of filters in Power BI
- DAX (Data Analysis Expressions) for complex calculations and filters
- Upload vs Publish vs Share Power BI solutions
- Power BI Report Builder – Paginated reports
- Power BI Report Server vs Power BI service
- Implement data security at report vs Server/Service level
- Analyze and improve report performance
