Unlocking the Potential of Microsoft Power BI

• What is Power BI?
• Importance of data visualization
• Key Power BI concepts and terminologies
• Power BI's role in data-driven decision-making

• Power BI Desktop
• Power BI Service
• Power BI Mobile
• Power BI Embedded
• Differences and use cases

• Downloading and installing Power BI Desktop
• Connecting to data sources
• Loading and transforming data
• The Power Query Editor

• Understanding data modelings
• Creating relationships between tables
• DAX (Data Analysis Expressions) basics
• Measures and calculated columns

• Introduction to Power BI visuals (charts, tables, maps, etc.)
• Creating and formatting visuals
• Slicers and filters
• Custom visuals

• Principles of effective data visualization
• Choosing the right chart type
• Designing for user engagement
• Accessibility considerations

• Creating interactive dashboards
• Dashboard navigation and layout
• Bookmarking and buttons
• Drill-through and drill-down

• Time-saving shortcuts and features
• Custom themes and branding
• Data storytelling
• Q&A and natural language querying

• Advanced Power Query transformations
• M code fundamentals
• Combining and shaping data
• Parameters and functions

• Data source options (SQL, Excel, web, APIs, etc.)
• Dataflows and Power Query Online
• Power BI Data Gateway
• Real-time data streaming

• Data security in Power BI
• Row-level security
• Data encryption and protection
• Compliance considerations

• Integrating Power BI with Excel
• Power BI and Azure services (Azure Synapse Analytics, Azure Data Lake, etc.)
• Power BI and SharePoint
• Collaboration and sharing options.

• Advanced DAX calculations
• Time intelligence functions
• DAX optimization techniques
• Scenario analysis with DAX

• Power BI AI capabilities
• Creating and using AI visuals
• Integration with Azure Machine Learning
• Predictive analytics with Power BI

• Creating impactful data narratives
• Storytelling with data
• Adding insights and annotations
• Building a compelling data story

• Introduction to Power BI Service
• Publishing and sharing reports.
• Collaborating with colleagues
• Power BI workspaces and apps

• Accessing reports on mobile devices
• Mobile-specific features
• Design considerations for mobile
• Offline capabilities

• Data refresh in Power BI Service
• Scheduling data refresh
• Troubleshooting data refresh issues
• Performance optimization