Data Analysis with Power BI Course in Mysuru Overview


Data Analysis with Power BI involves using Microsoft Power BI, a powerful business intelligence tool, to transform raw data into meaningful insights through interactive reports and dashboards. Power BI helps users visualize data, create reports, and share insights across an organization, facilitating data-driven decision-making.

  • Overview of Power BI: Introduction to Power BI Desktop and Power BI Service
  • Understanding Power BI components: Dataset, Report, Dashboard
  • Connecting to data sources: Excel, CSV, databases (SQL Server, MySQL, PostgreSQL), web sources
  • Data loading and transformation using Power Query Editor
  • Query Editor functionalities: Data cleaning, shaping, merging, appending queries
  • Introduction to DAX (Data Analysis Expressions) language for data modeling
  • Creating basic visualizations: Bar charts, line charts, pie charts
  • Formatting and customizing visuals: Colors, axes, legends
  • Using filters and slicers for interactive visualizations
  • Geographic and map visualizations: Using Bing Maps, ArcGIS Maps
  • Hierarchical data visualization: Treemaps, sunburst charts
  • Custom visuals and importing from the Power BI AppSource

  • DAX Functions:

  • Aggregations: SUM, AVERAGE, MIN, MAX
  • Time intelligence functions: TOTALYTD, SAMEPERIODLASTYEAR
  • Calculated columns and measures
  • Creating calculated tables and hierarchies for advanced analytics
  • Implementing statistical functions in Power BI
  • Forecasting trends using built-in forecasting tools
  • Applying machine learning algorithms via Azure Machine Learning integration
  • Publishing and sharing reports and dashboards on Power BI Service
  • Creating and managing workspaces: App workspaces, personal workspaces
  • Collaboration features: Sharing, exporting, embedding reports
  • Implementing row-level security (RLS) in Power BI
  • Data security considerations: Managing permissions, encryption
  • Integrating external data sources and APIs
  • Using Power BI with other Microsoft tools (Excel, SharePoint)
  • Real-time data streaming and analytics with Power BI
  • Power BI Admin Portal: Managing usage metrics, capacity settings
  • Monitoring and optimizing Power BI performance

  • Creating compelling data stories with Power BI
  • Design principles for effective data visualization and storytelling