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Course Outline
Introduction to Power BI
- An overview of Power BI Desktop and Power BI Service.
- Exploring the core elements: reports, datasets, and dashboards.
- Reviewing available data connectivity options.
Data Integration and Preparation
- Retrieving data from Excel files, CSVs, and cloud platforms.
- Performing initial data transformations using the Power Query Editor.
- Refining and structuring data for optimal visual analysis.
Crafting Impactful Visuals
- Selecting appropriate chart types to match your data requirements.
- Designing tables, scorecards, and key performance indicators (KPIs).
- Incorporating slicers and filters to enhance interactivity.
Constructing Dynamic Dashboards
- Assembling individual visuals into a unified dashboard layout.
- Implementing themes, layout structures, and design best practices.
- Enabling drill-through features and cross-filter interactions.
Distribution and Collaboration
- Exporting and publishing reports to the Power BI Service.
- Setting up workspaces and defining access permissions.
- Sharing dashboards and embedding reports into external platforms.
Practical Workshop
- Developing a full dashboard from a provided sample dataset.
- Adjusting visual interactions and filtering mechanisms.
- Presenting findings and sharing outcomes with key stakeholders.
Conclusion and Future Pathways
Requirements
- Familiarity with managing data in spreadsheet applications.
- Proficiency in Microsoft Excel or comparable tools.
- A foundational grasp of business reporting or analytics concepts.
Target Audience
- Business analysts.
- Operations and administrative personnel.
- Professionals aiming to develop high-impact dashboards and reports.
7 Hours
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.