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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 common data sources
Data Preparation and Transformation
- Leveraging Power Query for data cleansing
- Shaping and transforming data structures
- Managing and consolidating queries
Data Modeling Fundamentals
- Establishing relationships between tables
- Handling data types and hierarchies
- Constructing star schemas
Creating Visualizations
- Choosing appropriate visuals for specific data
- Customizing charts and graphical elements
- Utilizing slicers and filters for effective analysis
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
- Applying conditional formatting techniques
Publishing and Sharing Insights
- Distributing reports via Power BI Service
- Administering workspaces and access controls
- Sharing dashboards across team members
Optimizing Performance and Governance
- Enhancing data model performance
- Adhering to governance and compliance standards
- Implementing strategies for dataset refresh
Summary and Future Directions
Requirements
- Foundational knowledge of data concepts
- Practical experience with spreadsheets or tabular data
- Basic familiarity with reporting tasks
Target Audience
- Business analysts
- Corporate professionals engaged in data work
- Users 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