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Duration 7 hours
Course Outline
Introducing Power BI
- Overview of Power BI Desktop and the Power BI Service
- Key components explained: reports, datasets, and dashboards
- Review of available data connection options
Data Connection and Preparation
- Importing data from Excel, CSV files, and cloud platforms
- Introductory data transformation using the Power Query Editor
- Preparing and structuring data for visual analysis
Creating Effective Visualisations
- Selecting appropriate chart types for specific data sets
- Building tables, cards, and KPI indicators
- Implementing slicers and filters to enhance interactivity
Constructing Interactive Dashboards
- Assembling visuals into a unified dashboard layout
- Applying themes, layouts, and design best practices
- Incorporating drill-through and cross-filtering interactions
Publishing and Distributing Reports
- Saving and uploading reports to the Power BI Service
- Setting up workspaces and managing access permissions
- Sharing dashboards and embedding reports for broader access
Practical Workshop
- Building a complete dashboard from a sample dataset
- Tailoring visual interactions and filter settings
- Presenting findings and sharing outcomes with stakeholders
Wrap-up and Future Learning Paths
Requirements
- Familiarity with managing data in spreadsheets
- Working experience with Microsoft Excel or comparable tools
- Foundational knowledge of business reporting or analytics
Intended Audience
- Business analysts
- Operations and administrative personnel
- Professionals looking to produce compelling 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.