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PL-300 Microsoft Certified Power BI Analyst

This instructor-led Skill Plus Microsoft Power BI Data Analyst course focuses knowledge and understanding of the Microsoft Power BI data analysis…

admin August 19, 2025

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About Course

This instructor-led Skill Plus Microsoft Power BI Data Analyst course focuses knowledge and understanding of the Microsoft Power BI data analysis tool, including preparing the data; modeling the data; visualizing and analyzing the data; and deploying and maintaining assets. Designed for data analysts, business intelligence professionals, and report creators who are seeking to validate their skills and knowledge in analyzing data with Power BI.

The goal of this course is to provide you with all the tools you need to prepare for the PL-300 Microsoft Power BI Data Analyst exam — including text explanations, video demos, lab activities, self-assessment questions, and a practice exam— to increase your chances of passing the exam on your first try.

Course components:

  • Lessons
  • Video learning
  • MeasureUp Practice Test for Microsoft PL-300. Practice Mode with remediation and Certification mode to simulate the test day experience.
  • Labs

Audience:
  Participants who are familiar with how to get, model, and visualize data in Power BI Desktop, as well as share reports with other people.

Required course materials:  One seat of instructor-led Skill Plus Microsoft Power BI Data Analyst (PL-300) Courseware for each student.

Course objectives:
  Upon successful completion of this course, students should be able to: 

  • Prepare the data
  • Model the data
  • Visualize and analyze the data
  • Deploy and maintain assets
 
 
 
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Course Content

Lesson 1: Prepare the data
Skill 1.1: Get data from different data sources Skill 1.2: Clean, transform, and load the data

Lesson 2: Model the data
Skill 2.1: Design a data model Skill 2.2: Develop a data model Skill 2.3: Design governance Skill 2.4: Design identities and access for application

Lesson 3: Visualize and analyze the data
Skill 3.1: Create reports Skill 3.2: Create dashboards Skill 3.3: Enhance reports for usability and storytelling Skill 3.4: Identify patterns and trends

Lesson 4: Deploy and maintain assets
Skill 4.1: Manage files and datasets Skill 4.2: Manage workspaces

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