Give your career an edge with Power BI training program

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Power BI is a suite of software tools, applications and connectors that helps to turn your data sources into visually immersive, intelligible and interactive insights. It enables you to get connect to your data sources, visualize what’s important, and share that with anyone or everyone you need. Power BI training is intended to help you understand Power BI and how it is used for data mashup along with Power Pivot for Data Modeling. The training program helps you understand Data Analysis Expressions (DAX) and Data Visualization with Power BI Desktop, Power View and Power Map.

This program improves Programmability and Extensibility features like .Net integration with Power BI and Integrating Power BI with SSRS reports as well as Microsoft Azure for machine learning. Power BI Training will help you to become a Power BI expert and will certainly improve your skills by providing you in depth knowledge on Power BI, and the required hands-on practical sessions for solving real-time Power BI projects.  During the training program, you will:

  • Master concepts like Data Visualization and Integration
  • Implement DAX and SSBI
  • Use Power Pivot, Power View, and Power Map etc.
  • Master Power BI Embedded and Workspace Collection
  • Use and implement Custom Visuals
  • Perform Data Binding and Formatting
  • Explore Power BI Q&A
  • Use Data Gateways, Content packs, Power BI Report Server

Power BI helps professionals to visualize and share insights from the data of their organizations. It provides visualizations with self-service business intelligence capabilities, where end users can create reports and dashboards by themselves, without having to depend on any information from technology staff or database administrator. Microsoft Power BI Training in Noida is for all the professionals who are passionate about business intelligence, data visualization, and data analytics. It is best suited for:

  • Business Analysts
  • Statisticians and Analysts
  • Business Intelligence Manager
  • Project Managers
  • Data Scientists

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