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Duration 21 hours
Course Outline
Overview of the Microsoft Power Platform
- Introduction to Power BI, Power Apps, Power Automate, and Power Virtual Agents
- Synergy between Microsoft 365 and the Power Platform
- The strategic business impact of low-code development
Initiating Work with Power BI
- Setup and configuration of Power BI Desktop
- Establishing connections to diverse data sources, including Excel, databases, and cloud services
- Refining and transforming data via Power Query
Power BI Data Modeling and Relationships
- Grasping the structure of data models and inter-entity relationships
- Leveraging DAX (Data Analysis Expressions) for complex calculations
- Constructing hierarchies and defining measures
Visualizing Data Through Dashboards
- Architecting effective, interactive dashboard layouts
- Employing visual components such as charts, maps, slicers, and tables
- Implementing filters, drill-through capabilities, and conditional formatting
Introduction to Power Apps
- Navigating the Power Apps development environment
- Building both canvas-based and model-driven applications
- Crafting user-centric interfaces and layouts
Integrating Power Apps with Data Sources
- Utilizing Dataverse, SharePoint, and Excel as primary data repositories
- Developing forms, galleries, and data cards
- Implementing business logic through formulas and actions
Automation and System Integration
- Orchestration of Power Automate alongside Power Apps and Power BI
- Configuration of triggers and automated workflow processes
- Practical automation scenarios, including approvals, notifications, and data updates
Deployment, Collaboration, and Security
- Publishing dashboards and applications for organizational use
- Administration of permissions, environments, and data governance policies
- Best practices for ongoing solution maintenance and updates
Conclusion and Future Directions
Requirements
- Foundational knowledge of data handling and reporting workflows
- Basic proficiency with Microsoft Excel or comparable spreadsheet software
Target Audience
- Business analysts
- Data professionals
- Managers and key decision-makers
- Process automation specialists
Testimonials (2)
How to use relationships in Power BIand the differences between columns and measurements
LEUNG Chun Hei - HAESL
Course - Advanced Power BI: Data Modeling, DAX, and Enhanced Analytics
Practical and hands on labs on report developmemt using Power BI The labs were excellent and the trainer offered very good hands on sessions