Title: Mastering Power BI: From Data Visualization to Advanced Analytics

1. Introduction to Power BI

• Overview of Power BI: What it is and why it's essential.
• Key components of Power BI: Power Query, Power Pivot, Power View, Power Map, Power Q&A.
• Understanding the Power BI ecosystem: Desktop, Service, Mobile, Gateway.

2. Getting Started with Power BI Desktop

• Installing and configuring Power BI Desktop.
• Introduction to the Power BI interface.
• Connecting to data sources: Excel, databases, web services, etc.
• Data modeling basics: Relationships, calculated columns, measures.

3. Data Transformation and Cleansing

• Using Power Query Editor for data transformation.
• Techniques for data cleansing and shaping.
• Advanced transformations: Pivot, Unpivot, Merge, Append, etc.
• Best practices for data preparation.

4. Creating Visualizations

• Introduction to visualization types: bar charts, line charts, pie charts, etc.
• Customizing visualizations: Formatting, colors, titles, etc.
• Using interactive features: Drill-down, drill-through, bookmarks, tooltips.
• Building dashboards: Layout design, adding tiles, managing interactions.

5. Advanced Analytics with Power BI

• Introduction to DAX (Data Analysis Expressions) language.
• Writing DAX formulas: Calculated columns, measures, tables.
• Time intelligence functions for date analysis.
• Incorporating advanced analytics: Forecasting, clustering, sentiment analysis.

6. Sharing and Collaborating

• Publishing reports to Power BI Service.
• Configuring datasets, reports, and dashboards in the cloud.
• Sharing options: Embedding, sharing with specific users, sharing with a link.
• Collaborative features: Comments, notifications, Power BI apps.

7. Power BI Administration

• Understanding Power BI Premium and Pro licenses.
• Managing workspaces and permissions.
• Usage monitoring and optimization.

8. Integrating Power BI with Other Tools

• Connecting Power BI with Excel.
• Using Power BI with SharePoint, Dynamics 365, and other Microsoft products.
• Incorporating custom visuals and extensions.

9. Real-World Applications and Case Studies

• Industry-specific use cases: Sales analytics, financial reporting, HR analytics, etc.
• Case studies demonstrating the effectiveness of Power BI in solving business problems.

10. Q&A Session

• Open floor for attendees to ask questions.
• Addressing common challenges and concerns faced by Power BI users.