Microsoft Power BI is a business intelligence and data analysis and visualization tool that provides interactive visualizations and business intelligence capabilities with an interface easy to use for end users to create their own reports and dashboards.
Microsoft Power BI is a business intelligence and data analysis and visualization tool that provides interactive visualizations and business intelligence capabilities with an interface easy to use for end users to create their own reports and dashboards.
It enables users to access and analyze data from a wide range of data sources, including cloud-based and on-premises databases, as well as unstructured data sources such as Excel spreadsheets and SharePoint lists.
Power BI provides a range of features including data exploration and discovery, data modeling and analysis, data visualization and reporting, as well as real-time data collaboration and sharing. With its intuitive user interface, Power BI makes it easy for users to create interactive data reports and dashboards that provide valuable insights into their business data.
Power BI Certification:
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Power BI course is offered by Finedge. Power BI course introduces you to Power BI Desktop and how it is used with Power Pivot for Data Modelling. This course enables you to learn about Data Analysis Expressions (DAX) and Data Visualization with Power BI Desktop.
Mazenet’s industry-oriented big data corporate training approach from real-time training experts will help in driving knowledge of all complex applications of Big Data Analytics.
Big Data Analytics course is offered by Digitech Computer Education. Digitech Bokaro Centre offers various Internship / Training courses, to make engineering graduates adequately equipped with the required skills by means of intensive hands-on training.
Our Mentor helps you learn Power BI concepts such as Microsoft Power BI desktop layouts, BI reports, dashboards, Power BIDAX commands, and features. You’ll learn how to experiment, modify, prepare, and present your data quickly and easily.
Big data is data sets that are so voluminous and complex that traditional data-processing application software is inadequate to deal with them. Big data challenges include capturing data, data storage, data analysis search, sharing, transfer, visualization, querying, updating, information privacy ...
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