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Course Outline
Introduction to Power BI
- Exploring the Power BI ecosystem
- Getting familiar with the Power BI Desktop interface
- Establishing connections to standard data sources
Data Preparation and Transformation
- Leveraging Power Query for data cleansing
- Refining and restructuring data
- Overseeing and merging queries
Data Modeling Fundamentals
- Establishing relationships between tables
- Managing data types and hierarchies
- Constructing star schema models
Creating Visualizations
- Choosing the most appropriate visuals for your data
- Customizing charts and visual elements
- Utilizing slicers and filters effectively
DAX Essentials
- Grasping calculated columns and measures
- Applying standard DAX functions
- Incorporating time intelligence concepts
Advanced Analytics and Reporting
- Developing drill-through and tooltip pages
- Enhancing dashboards with advanced visual components
- Utilizing conditional formatting
Publishing and Sharing Insights
- Deploying reports to Power BI Service
- Administering workspaces and user access
- Distributing dashboards across team members
Optimizing Performance and Governance
- Enhancing data model efficiency
- Adhering to governance and compliance standards
- Setting up dataset refresh protocols
Summary and Next Steps
Requirements
- A foundational grasp of data concepts
- Practical experience with spreadsheets or tabular data
- Basic familiarity with reporting workflows
Target Audience
- Business analysts
- Professionals handling corporate data
- 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
engagement with the attendees