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Duration 14 hours
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
- Cleaning data via Power Query
- Refining and shaping datasets
- Overseeing and merging queries
Data Modeling Fundamentals
- Defining relationships between tables
- Managing data types and hierarchies
- Constructing star schema structures
Building Visualizations
- Choosing appropriate visuals for specific data
- Tailoring charts and graphical elements
- Utilizing slicers and filters for precision
DAX Essentials
- Distinguishing between calculated columns and measures
- Employing standard DAX functions
- Integrating time intelligence principles
Advanced Analytics and Reporting
- Developing drill-through and tooltip capabilities
- Elevating dashboards with sophisticated visuals
- Applying rule-based conditional formatting
Publishing and Sharing Insights
- Deploying reports to the Power BI Service
- Administering workspaces and user access
- Distributing dashboards among team members
Optimizing Performance and Governance
- Enhancing data model efficiency
- Adhering to governance and compliance standards
- Establishing dataset refresh protocols
Summary and Next Steps
Requirements
- A foundational grasp of data concepts
- Proficiency with spreadsheets or tabular structures
- Basic familiarity with reporting workflows
Target Audience
- Business analysts
- Corporate professionals engaged in data management
- Individuals responsible for generating 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