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Duration 21 hours
Course Outline
Introduction to the Microsoft Power Platform
- An overview of Power BI, Power Apps, Power Automate, and Power Virtual Agents
- The synergy between Microsoft 365 and the Power Platform
- Grasping the business advantages of low-code development
Initial Steps with Power BI
- Setting up and configuring Power BI Desktop
- Linking to diverse data sources (Excel, databases, cloud services)
- Cleaning and transforming data via Power Query
Data Modeling and Relationships in Power BI
- Comprehending data structures and relational models
- Applying DAX (Data Analysis Expressions) for computations
- Establishing hierarchies and defining measures
Data Visualization and Dashboard Creation
- Crafting effective and interactive dashboards
- Implementing filters, drill-through capabilities, and conditional formatting
Getting Acquainted with Power Apps
- Exploring the Power Apps environment
Integrating Power Apps with Data Sources
Automation and System Integration
Publishing, Distribution, and Security
Recap and Future Pathways
Requirements
- A solid grasp of data handling and reporting workflows
- Foundational experience with Microsoft Excel or comparable spreadsheet applications
Target Audience
- Business analysts
- Data professionals
- Managers and strategic decision-makers
- Specialists in process automation
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