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MS Power BI: Data Analysis Practitioner

MS Power BI: Data Analysis Practitioner

$995
2 days
Audience
Prerequisites
Course Outline
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Course Description:

Organizations collect vast amounts of data, but transforming that information into meaningful insights can be challenging. Microsoft Power BI provides powerful tools for connecting to data sources, analyzing information, and creating interactive visualizations that support informed business decisions.

In this course, students will learn to connect to and transform data, develop visual reports, customize visual elements, and create dashboards using Microsoft Power BI. Students will also explore techniques for cleaning, profiling, and shaping data with Power Query Editor, as well as sharing reports and insights through the Power BI service.

Course Objectives:

In this course, you will analyze data with Microsoft Power BI. You will:

  • Analyze data using self-service business intelligence tools.

  • Connect to and manage data sources.

  • Clean, profile, and shape data for analysis.

  • Create data visualizations using Power BI.

  • Enhance data analysis by customizing visual elements.

  • Customize and filter reports and visualizations.

  • Share reports and create dashboards using the Power BI service.

Scheduled Courses

Dec 10, 2026
vILT (Virtual)
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Course Description:
Organizations collect vast amounts of data, but transforming that information into meaningful insights can be challenging. Microsoft Power BI provides powerful tools for connecting to data sources, analyzing information, and creating interactive visualizations that support informed business decisions.
In this course, students will learn to connect to and transform data, develop visual reports, customize visual elements, and create dashboards using Microsoft Power BI. Students will also explore techniques for cleaning, profiling, and shaping data with Power Query Editor, as well as sharing reports and insights through the Power BI service.
Course Objectives:
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  • Connect to and manage data sources.
  • Clean, profile, and shape data for analysis.
  • Create data visualizations using Power BI.
  • Enhance data analysis by customizing visual elements.
  • Customize and filter reports and visualizations.
  • Share reports and create dashboards using the Power BI service.
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