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Duration 14 hours
Course Outline
Introduction to Power BI
- Exploring the Power BI ecosystem
- Navigating the Power BI Desktop interface
- Establishing connections to common data sources
Data Preparation and Transformation
- Utilizing Power Query for data cleansing
- Shaping and modifying data structures
- Managing and merging queries
Data Modeling Fundamentals
- Defining relationships between tables
- Handling data types and hierarchies
- Constructing star schema models
Creating Visualizations
- Choosing appropriate visuals for your data
- Customizing charts and graphical elements
- Utilizing slicers and filters strategically
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 sophisticated visuals
- Implementing conditional formatting
Publishing and Sharing Insights
- Deploying reports to Power BI Service
- Managing workspaces and access rights
- Distributing dashboards across teams
Optimizing Performance and Governance
- Boosting data model performance
- Adhering to governance and compliance standards
- Executing dataset refresh strategies
Summary and Next Steps
Requirements
- A foundational understanding of data concepts
- Hands-on experience with spreadsheets or tabular data
- Basic familiarity with reporting tasks
Target Audience
- Business analysts
- Corporate professionals dealing with data
- Users tasked with creating 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