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Duration 7 hours
Course Outline
Introduction to Power BI
- Examining Power BI Desktop and the Power BI Service
- Identifying key elements: reports, datasets, and dashboards
- Reviewing available data connectivity methods
Data Integration and Preparation
- Importing information from Excel, CSV files, and cloud platforms
- Performing initial transformations via the Power Query Editor
- Refining and structuring data for visual analysis
Crafting Compelling Visuals
- Selecting appropriate chart types for specific data contexts
- Generating tables, cards, and Key Performance Indicators (KPIs)
- Implementing slicers and filters to enhance interactivity
Constructing Interactive Dashboards
- Assembling visuals into unified, coherent dashboards
- Applying consistent themes, layouts, and design standards
- Incorporating drill-through and cross-filtering mechanisms
Distribution and Collaboration
- Publishing saved reports to the Power BI Service
- Setting up workspaces and managing access rights
- Sharing dashboards and embedding reports into other platforms
Practical Workshop
- Building a complete dashboard from a provided sample dataset
- Refining visual interactions and filter settings
- Presentation and sharing of final results with stakeholders
Wrap-up and Future Learning Paths
Requirements
- Familiarity with managing data through spreadsheet applications
- Proficiency with Microsoft Excel or comparable tools
- Foundational knowledge of business analytics or reporting
Target Audience
- Business Analysts
- Operations and Administrative Personnel
- Professionals aiming to develop high-impact 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.
