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Analyzing Data with Power BI Training Certification Course

Overview

The main purpose of the course Analyzing data with Power BI is to give students a good understanding of data analysis with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App. Business intelligence (BI) is a term that has become increasingly common over recent years. Along with big data, data mining, predictive analytics, data science, and data stewards, Analyzing data with Power BI is now very much part of business vocabulary. Much of the impetus behind this is the need for organizations to cope with ever-increasing datasets. Power BI offers a straightforward approach to report creation, and the ability to create and share dashboards without dependency on a report developer, or the need for Microsoft SharePoint.

Do you want to make business decisions backed by data? Learn how to do with Analyzing data with Power BI . Learn to work in Power BI to review and interact with this content to make business decisions. Microsoft Power BI is making its mark in the self-service BI world—because it can quickly create visually stunning, interactive reports, and dashboards. The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data.

In addition to their professional experience, students who attend this training Analyzing data with Power BI should already have the following technical knowledge:

  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Basic knowledge of data warehouse schema topology (including star and snowflake schemas).
  • Some exposure to basic programming concepts (such as looping and branching).
  • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
  • Familiarity with Microsoft Office applications – particularly Excel.

After completing this course Analyzing data with Power BI , students will be able to:

  • Perform Power BI desktop data transformation.
  • Describe Power BI desktop modelling.
  • Create a Power BI desktop visualization.
  • Implement the Power BI service.
  • Describe how to connect to Excel data.
  • Describe how to collaborate with Power BI data.
  • Connect directly to data stores.
  • Describe the Power BI developer API.
  • Describe the Power BI mobile app.

Fees & Schedule

Delivery Mode Course Duration Fees
Live Virtual Training 3 Days Ask for Quote
Onsite Classroom Training 3 Days Ask for Quote
Customized Training 3 Days Ask for Quote

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