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Course Outline
Summary and Foundations of Data Modeling
- Overview of the Power BI data modeling architecture
- Application of star and snowflake schema frameworks
- Establishment and administration of table relationships
Overview of Data Analysis Expressions (DAX)
- DAX syntax conventions and data type classifications
- Differentiation between calculated columns and measures
- Utilization of standard DAX functions: SUMX, CALCULATE, FILTER, RELATED
Advanced DAX Techniques and Business Logic Implementation
- Application of time intelligence functions (year-to-date, month-to-date, quarter-to-date)
- Implementation of conditional logic and dynamic calculation methods
- Development of ranking systems, running totals, and comparative performance metrics
Data Transformation and Performance Optimization
- Execution of advanced transformations using Power Query
- Efficient integration and consolidation of disparate data sources
- Enhancement of query performance through query folding and relationship optimization
Advanced Visualization and Interactivity Features
- Integration of custom visuals and marketplace extensions
- Configuration of drill-through capabilities, bookmarks, and what-if parameters
- Development of paginated and dynamic reporting solutions
Performance Management and Governance in Power BI
- Adherence to best practices for dataset lifecycle management
- Optimization of data refresh schedules and query efficiency
- Deployment of row-level security (RLS) protocols for data protection
Practical Application: Development of a Sales Intelligence Dashboard
- Definition of key performance indicators (KPIs) via DAX measures
- Design of model-driven dashboards to support strategic decision-making
- Application of governance standards and secure sharing practices for government** stakeholders
Conclusion and Path Forward
Requirements
**Prerequisites**
* Proficiency in navigating the Power BI environment and generating reports.
* Demonstrated capability in designing interactive dashboards within the Power BI ecosystem.
* Foundational knowledge of data modeling concepts, including relationship mapping and filter application.
**Target Audience**
* Business intelligence practitioners.
* Data analysts and reporting specialists.
* Professionals engaged in data visualization and analytics development for government initiatives.
14 Hours
Testimonials (2)
The basic structure of Power BI, its main functions, as well as some advanced functions
Alessandro Binaghi - Great Place to Work(R) Institute Italia Srl
Course - PL-300: Microsoft Power BI Data Analyst
engagement with the attendees