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Duration 14 hours
Course Outline
Introduction to Power BI
- Exploring the Power BI ecosystem
- Navigating the Power BI Desktop workspace
- Establishing connections to standard data sources
Data Preparation and Transformation
- Utilizing Power Query for data cleansing
- Reshaping and transforming data structures
- Handling and merging multiple queries
Core Data Modeling
- Establishing relationships between tables
- Managing data types and hierarchical structures
- Constructing star schema models
Creating Visualizations
- Choosing appropriate visuals for specific data
- Customizing chart appearances and elements
- Effective use of slicers and filters
Foundations of DAX
- Distinguishing between calculated columns and measures
- Utilizing essential DAX functions
- Incorporating time intelligence concepts
Advanced Analytics and Reporting
- Developing drill-through and tooltip functionalities
- Enhancing dashboards with sophisticated visuals
- Implementing conditional formatting rules
Publication and Collaboration
- Publishing reports to the Power BI Service
- Oversight of workspaces and user access
- Distributing dashboards across teams
Performance Optimization and Governance
- Enhancing the efficiency of the data model
- Adhering to governance and compliance standards
- Establishing strategies for dataset refreshes
Conclusion and Future Pathways
Requirements
- Grasping fundamental data concepts
- Proficiency with spreadsheets or tabular data
- Comfort with basic reporting workflows
Target Audience
- Business analysts
- Corporate professionals engaged in data work
- Individuals responsible for generating dashboards and reports
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
engagement with the attendees