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Course Outline
Foundations of Power BI
- Exploring the Power BI ecosystem
- Interacting with the Power BI Desktop interface
- Establishing connections to standard data sources
Data Preparation and ETL
- Leveraging Power Query for data cleansing
- Shaping and refining data structures
- Administering and integrating queries
Core Data Modeling Concepts
- Defining relationships between tables
- Managing data types and hierarchical structures
- Constructing star schemas
Creating Visualizations
- Choosing appropriate visuals for specific data types
- Refining charts and visual elements
- Utilizing slicers and filters for dynamic analysis
DAX Fundamentals
- Distinguishing between calculated columns and measures
- Applying essential DAX functions
- Incorporating time intelligence logic
Advanced Analytics and Reporting Techniques
- Developing drill-through pages and tooltips
- Enhancing dashboards with specialized visuals
- Implementing conditional formatting rules
Deployment and Collaboration
- Publishing reports to the Power BI Service
- Oversight of workspaces and user access
- Distributing dashboards among team members
Performance Optimization and Governance
- Enhancing the efficiency of data models
- Adhering to governance and compliance standards
- Establishing strategies for dataset refreshes
Conclusion and Future Directions
Requirements
- A solid grasp of fundamental data concepts
- Proficiency with spreadsheets or handling tabular data
- Basic knowledge of reporting workflows
Intended Audience
- Business analysts
- Corporate professionals engaged in data-related roles
- Individuals responsible for creating dashboards and reports
14 Hours
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
Method of training.