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Sure! Here's a structured module-wise course outline for Power BI:

Module 1: Introduction to Power BI 
- Understanding Business Intelligence and Data Visualization 
- Introduction to Power BI and its components 
- Power BI Desktop vs. Power BI Service 
- Connecting to various data sources

Module 2: Data Transformation and Data Modeling 
- Data loading and data shaping in Power Query Editor 
- Data cleaning and transformation techniques 
- Creating relationships between tables 
- Understanding data modeling best practices

Module 3: Data Visualization with Power BI 
- Creating basic visualizations (bar charts, line charts, pie charts, etc.) 
- Enhancing visuals with formatting options 
- Using custom visuals and marketplace visuals 
- Implementing drill-down, drill-through, and cross-filtering

Module 4: Advanced Data Visualization 
- Working with maps and geographical data 
- Hierarchical visuals (sunburst charts, treemaps) 
- Time-based visuals (time-series charts, forecasting) 
- Implementing KPIs and gauges

Module 5: Power BI DAX (Data Analysis Expressions) 
- Introduction to DAX and its importance in Power BI 
- DAX functions for calculated columns and measures 
- Time intelligence functions for analyzing trends 
- Using variables and filtering in DAX

Module 6: Power BI Report Development 
- Designing interactive and responsive reports 
- Using bookmarks and report themes 
- Utilizing tooltips for additional information 
- Adding slicers and drillthrough actions

Module 7: Power BI Dashboards 
- Creating visually appealing dashboards 
- Using Q&A (Natural Language Query) feature 
- Dashboard navigation and best practices 
- Sharing and collaborating on dashboards

Module 8: Power BI Service and Power BI Mobile App 
- Publishing reports to Power BI Service 
- Creating and managing workspaces 
- Power BI mobile app features and usage 
- Real-time dashboards and data refresh

Module 9: Power BI Integration with Other Tools 
- Integrating Power BI reports into SharePoint and Teams 
- Embedding Power BI reports into websites 
- Using Power BI with Excel and Azure services

Module 10: Power BI Security and Administration 
- Understanding Power BI security options 
- Row-level security (RLS) implementation 
- Auditing and usage monitoring 
- Power BI Premium and Power BI Pro

Module 11: Power BI for Advanced Analytics 
- Integrating Power BI with Azure Machine Learning 
- Using AI visuals and Insights 
- Anomaly detection and key influencer visuals

Module 12: Power BI Best Practices and Optimization 
- Performance optimization techniques 
- Designing for usability and accessibility 
- Version control and collaborative development

Each module can be adapted based on the course duration, audience skill level, and specific learning objectives. Power BI is a powerful tool for data visualization and analysis, and this structured course will equip students with the knowledge and skills to harness its full potential in various business scenarios.