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Course Outline
Introduction to Power BI
- Exploring the Power BI ecosystem
- Interacting with the Power BI Desktop interface
- Establishing connections to standard data sources
Data Preparation and Transformation
- Utilizing Power Query for data cleansing
- Shaping and manipulating data structures
- Managing and integrating multiple queries
Data Modeling Fundamentals
- Establishing relationships between tables
- Managing data types and hierarchical structures
- Constructing star schema models
Creating Visualizations
- Choosing appropriate visuals for specific data types
- Customizing chart appearances and visual elements
- Effective use of slicers and filters
DAX Essentials
- Understanding calculated columns and measures
- Applying standard DAX functions
- Implementing time intelligence concepts
Advanced Analytics and Reporting
- Developing drill-through and tooltip pages
- Enhancing dashboards with sophisticated visuals
- Applying conditional formatting rules
Publishing and Sharing Insights
- Publishing reports to the Power BI Service
- Administering workspaces and access permissions
- Distributing dashboards across teams
Optimizing Performance and Governance
- Enhancing data model efficiency
- Adhering to governance and compliance standards
- Implementing dataset refresh strategies
Summary and Next Steps
Requirements
- A foundational understanding of data concepts
- Practical experience with spreadsheets or tabular data
- Familiarity with basic reporting tasks
Target Audience
- Business analysts
- Corporate professionals engaged in data work
- Users requiring the creation of 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.