Course Outline

• Introduction to Power BI: Overview of Power BI, its features, and capabilities for data visualization and analytics.
  
• Connecting Data Sources: Connecting to various data sources such as Excel, SQL databases, and cloud services.
• Data Transformation and Modeling: Transforming and modeling data using Power Query Editor and Data Modeling tools.
• Creating Visualizations: Designing interactive visualizations including charts, graphs, and maps to analyze data.
• Building Dashboards: Constructing interactive dashboards to present key insights and metrics.
• Model Evaluation and Validation: Techniques for assessing and improving the performance of machine learning models.
• DAX Formulas and Functions: Introduction to Data Analysis Expressions (DAX) for creating calculated columns, measures, and calculated tables.
• Advanced Analytics: Performing advanced analytics using features like forecasting, clustering, and quick insights.
• Sharing and Collaboration: Sharing reports and dashboards with colleagues, stakeholders, and clients using Power BI Service.
• Power BI Mobile: Accessing and interacting with reports and dashboards on mobile devices using Power BI Mobile app.
• Integration with Other Tools: Integrating Power BI with other Microsoft tools such as Excel, SharePoint, and Teams.
• Custom Visuals and Extensions: Extending Power BI functionality with custom visuals and extensions from the marketplace.
  
• Administration and Security: Managing workspaces, users, and security settings in Power BI Service.
  
• Real-world Applications: Applying Power BI techniques to real-world scenarios and case studies across various industries.