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Duration 14 hours
Course Outline
Introduction to Power BI
- Exploring the Power BI ecosystem
- Mastering the Power BI Desktop interface
- Establishing connections to standard data sources
Data Preparation and Transformation
- Leveraging Power Query for data cleansing
- Refining and transforming data structures
- Orchestrating and merging queries
Data Modeling Fundamentals
- Establishing relationships between tables
- Managing data types and hierarchical structures
- Constructing star schema models
Building Visualizations
- Choosing appropriate visuals for specific data
- Customizing charts and visual elements
- Utilizing slicers and filters strategically
DAX Essentials
- Grasping calculated columns and measures
- Implementing standard DAX functions
- Applying time intelligence concepts
Advanced Analytics and Reporting
- Developing drill-through and tooltip features
- Enhancing dashboards with sophisticated visuals
- Applying conditional formatting rules
Publishing and Sharing Insights
- Distributing reports to Power BI Service
- Administering workspaces and access controls
- Sharing 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 Future Directions
Requirements
- Foundational knowledge of data concepts
- Practical experience with spreadsheets or tabular structures
- Basic familiarity with reporting workflows
Target Audience
- Business analysts
- Corporate professionals engaged with data tasks
- Professionals responsible for creating dashboards and reports
Testimonials (2)
The most valuable takeaway was learning how to apply the concepts in real-world scenarios and understanding the tools and processes.
Marcel Tansae - DB Technology
Course - Microsoft Power Automate
How to use relationships in Power BIand the differences between columns and measurements