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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
- Leveraging Power Query for data cleaning
- Shaping and transforming data structures
- Managing and combining multiple queries
Data Modeling Fundamentals
- Establishing relationships between tables
- Working with data types and hierarchies
- Constructing star schemas
Building Visualizations
- Selecting appropriate visuals for specific data
- Customizing charts and visual elements
- Effectively utilizing slicers and filters
DAX Essentials
- Understanding calculated columns and measures
- Applying common DAX functions
- Implementing time intelligence concepts
Advanced Analytics and Reporting
- Creating drill-through and tooltip pages
- Enhancing dashboards with advanced visuals
- Applying conditional formatting rules
Publishing and Sharing Insights
- Publishing reports to Power BI Service
- Managing workspaces and access controls
- Distributing dashboards across teams
Optimizing Performance and Governance
- Enhancing data model performance
- 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 workflows.
Target Audience
- Business analysts.
- Corporate professionals engaged in data handling.
- Individuals responsible for 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
Method of training.
