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Introduction
A Power BI Course Syllabus is the perfect starting point for anyone looking to understand and excel in data analytics and business intelligence. This Power BI Course Syllabus in Bangalore provides a structured overview of essential topics, including data modeling, report creation, and interactive dashboard development. By taking a Power BI course syllabus, you will learn how to connect data from various sources, visualize it in meaningful ways, and derive actionable insights. Whether you’re a beginner aiming to learn the basics or a professional seeking advanced skills, this Power BI course syllabus will equip you with the tools to make data-driven decisions and enhance business outcomes.
Our Power BI Course Syllabus covers fundamental to advanced concepts such as Report Designing, Visual Sync, Grouping, Hierarchies, Filters, Bookmarks, Azure, Modeling, DAX Functions – Level 1, DAX Functions – Level 2, Power BI Cloud, Excel & RLS, Report Server, RDL, and many more. Get Practical Experience with Microsoft Power BI for Data Analytics. advanced concepts such as Report Designing, Visual Sync, Grouping, Hierarchies, Filters, Bookmarks, Azure, Modeling, DAX Functions – Level 1, DAX Functions – Level 2, Power BI Cloud, Excel & RLS, Report Server, RDL, and many more. Get Practical Experience with Microsoft Power BI for Data Analytics.
Module 1: Introduction to Power BI
- What is Power BI?
- Benefits of Power BI
- Power BI Desktop vs. Power BI Service
- Licensing and pricing options
- Installing Power BI Desktop
- Getting familiar with the Power BI interface
- Connecting to data sources
- Creating your first report
Module 2: Data Transformation and Preparation
- Importing data from various sources
- Data loading options (DirectQuery, Import, Live Connection)
- Data cleansing and shaping
- Using the Query Editor
- Transforming data with Power Query
- Combining and merging data
- Creating calculated columns and measures
- Data model optimization techniques
Module 3: Data Visualization Basics
- Introduction to data visualization
- Choosing the right chart type
- Building basic visualizations (bar charts, line charts, pie charts)
- Formatting and customizing visuals
- Working with colors and themes
- Adding data labels and tooltips
- Visual hierarchies and drill-through
- Interactivity in visuals
Module 4: Advanced Data Modeling
- Understanding relationships in Power BI
- Types of relationships (one-to-one, one-to-many, many-to-many)
- Creating and managing relationships
- Role-playing dimensions
- DAX (Data Analysis Expressions) fundamentals
- Creating calculated tables
- Time intelligence functions
- Advanced DAX calculations
Module 5: Power BI Data Sources
- Connecting to on-premises data sources
- Importing data from the web
- Streaming data into Power BI
- Using APIs for data retrieval
- Connecting to Azure services (Azure SQL Database, Azure Data Lake)
- SharePoint integration
- Importing data from Excel and CSV files
- Real-time data streaming with Power BI
Power BI Course Training Options
Module 6: Power BI Service and Collaboration
- Introduction to Power BI Service
- Publishing reports to the Power BI Service
- Sharing reports and dashboards
- Collaborating with Power BI Workspaces
- Setting up security and permissions
- Power BI Apps
- Exporting and embedding reports
- Alerts and notifications
Module 7: Advanced Visualizations
- Matrix and table visuals
- Scatter plots and bubble charts
- Tree maps and sunburst charts
- KPIs and Cards
- Funnel charts
- Custom visuals and customizations
- Drillthrough in visuals
- Best practices for effective visualizations
Module 8: Power BI Data Insights
- Introduction to Power BI Q&A
- Natural language queries and auto-generating visuals
- Quick Insights and data profiling
- Analyzing data with Quick Measures
- Clustering and grouping data
- Forecasting in Power BI
- Decomposition trees
- Advanced data exploration techniques
Module 9: Power BI Administration and Maintenance
- Managing Power BI workspaces
- Gateway configuration and management
- Data source credentials and refresh schedules
- Monitoring usage and performance
- Data security best practices
- Backup and restore options
- Power BI Service admin settings
- Power BI Governance
Module 10: Power BI Mobile App and Reporting
- Installing and setting up the Power BI mobile app
- Viewing reports and dashboards on mobile devices
- Creating mobile-optimized reports
- Real-time data alerts on mobile
- Data-driven storytelling
- Designing for mobile-first experiences
- Interactivity in mobile reports
- Best practices for mobile reporting
Module 11: Power BI Integration and Extensibility
- Power BI and Excel integration
- Power BI and Microsoft Teams integration
- Custom connectors and Power Query extensions
- Developing custom visuals
- Embedding Power BI in websites and applications
- Power BI REST API and Power Automate (Flow)
- Power BI and other Microsoft tools (SharePoint, Power Apps)
- Extending Power BI functionality
Module 12: Power BI Projects and Best Practices
- Power BI project lifecycle
- Requirements gathering and design
- Implementation and development
- Testing and quality assurance
- Deployment and distribution
- Performance optimization
- Documentation and user training
- Power BI best practices and tips