General Description

دورة تحليل البيانات باستخدام Power BI

Overview:

The Power BI Data Analysis course is a specialized program focused on using Power BI to analyze data and create interactive reports that support strategic decision-making based on evidence. The course aims to equip trainees with the skills and knowledge needed to use Power BI for importing, cleaning, and analyzing data, while creating visual dashboards to professionally visualize the data.

Throughout this course, trainees will learn how to use advanced tools in Power BI such as Power Query and DAX, as well as how to set up interactive reports that provide accurate insights into the data. This course is ideal for professionals looking to leverage Power BI for data analysis and data-driven decision-making.

Objectives:

  • Understand the basics of Power BI and its applications in data analysis.

  • Learn how to import data from multiple sources into Power BI.

  • Acquire the skills needed to clean data using Power Query.

  • Master the use of DAX to perform advanced data analysis.

  • Learn how to create interactive reports and dashboards using Power BI.

  • Understand how to use Power BI in different work environments, such as finance, marketing, and management.

  • Apply best practices for analyzing and presenting data in visually comprehensible reports.

Outcomes:

Upon completing the course, the trainee will be able to:

  • Use Power BI to analyze data and create dynamic, interactive reports.

  • Clean and transform data into suitable formats using Power Query.

  • Create interactive dashboards that visually present data in an easy-to-understand manner.

  • Use DAX to perform complex calculations and advanced data analysis.

  • Import data from multiple sources (Excel, SQL, etc.) and perform comprehensive analysis.

  • Build a strong foundation for advancing to more specialized data analysis courses, such as Data Science and Business Intelligence.

 
  • Course

    Data Analysis Course using Power BI

  • Overall time

    30 Hour

  • Overall days

    5 Day

  • Course type

    Online ، Offline

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