Microsoft Certified: Power BI Data Analyst Associate

Course Duration: 24 hours
Course Level: Beginner

About Course

Language: English

Duration: 24 Hrs

Awarding Body: Microsoft

Associated Exam: PL-300

Course Description:

The Microsoft Power BI course is designed to help individuals develop the skills and knowledge necessary to become a Power BI expert. This program covers a range of topics related to Power BI, including data modeling, data visualization, and report creation.

Pre-Requisite:

Before taking this course, you should have a basic understanding of data analysis and some experience working with Microsoft Excel.

Course Objectives:

After taking this course, you should be able to:

  • Understand the basic components of Power BI and how they work together to create solutions. 
  • Develop the skills necessary to create effective data models in Power BI. 
  • Understand how to create effective data visualizations in Power BI. 
  • Develop the skills necessary to create effective reports in Power BI. 
  • Understand how to use the Power BI service to share and collaborate on reports. 
  • Develop the skills necessary to use Power BI Desktop to create and publish reports.

Course Content:

  • Introduction to Power BI 
  • Data Modeling in Power BI 
  • Data Visualization in Power BI 
  • Report Creation in Power BI 
  • Power BI Service 
  • Power BI Desktop

    Course Benefits

    • The certification validates an individual’s ability to prepare, model, visualize, and analyze data using Microsoft Power BI.
    • It equips professionals with practical skills in designing effective data models, creating interactive reports, and implementing row-level security.
    • Learners gain expertise in integrating Power BI with diverse data sources and using DAX for advanced analytics.
    • The credential enhances credibility in data-driven roles such as Data Analyst, BI Specialist, or Reporting Analyst.
    • It supports career growth by positioning individuals for higher-level opportunities in business intelligence and analytics.

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