Microsoft PL-300 Exam Preparation and Practice

Overview

Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off

One annual plan covers every course and certificate on Coursera. 40% off for a limited time.

This course forms part of the Microsoft Power BI Analyst Professional Certificate. This Professional Certificate consists of a series of courses that offer a good starting point for a career in data analysis using Microsoft Power BI. This course will help you prepare for the Microsoft PL-300 exam. In this course, you’ll refresh your knowledge of all the key areas assessed in the Microsoft-certified Exam PL-300: Microsoft Power BI Data Analyst. In addition, you will prepare for the certification exam by taking a mock exam with a similar format and content as in the Microsoft PL-300 exam. You’ll also get tips and tricks, testing strategies, useful resources, and information on how to sign up for the Microsoft PL-300 proctored exam. This course is a great way to prepare for the Microsoft PL-300 exam. By passing the PL-300 exam, you’ll earn the Microsoft Power BI Data Analyst certification. Earning a Microsoft Certification is globally recognized evidence of real-world skills. After completing this course, you'll be able to: ● Prepare the data ● Model the data ● Visualize and analyze the data ● Deploy and maintain assets

Syllabus

Preparing Data

In this module, you will review how preparing data is covered on the PL-300 exam. You will focus on the core concepts involved in connecting to data sources, addressing data quality issues, and shaping and loading data in Power BI.

Modeling Data

In this module, you will review key concepts related to modeling data in Power BI for the PL-300 exam, including data model design, DAX calculations, model implementation, and performance optimization.

Visualize and analyze data

In this module, you will review how to visualize and analyze data in Power BI for the PL-300 exam. You will work with core concepts for creating reports, improving report usability and storytelling, and identifying patterns and trends by using features such as filtering, navigation, interactions, AI visuals, anomaly detection, grouping, binning, metrics, and reference lines.

Deploy and maintain assets

In this module, you will review the core concepts used to deploy and maintain Power BI assets for the PL-300 exam. You will focus on workspaces, workspace roles, apps, dashboards, sensitivity labels, subscriptions, alerts, and content endorsement, along with dataset management concepts such as gateways, scheduled refresh, row-level security, and dataset access.

Practice Exam

In this module, you will bring together what you’ve learned across the course as you prepare for the PL-300 practice exam. You will review how core Power BI skills connect across the data analyst workflow, examine how Microsoft Copilot supports business and reporting tasks, and consider how AI can assist with report design and DAX troubleshooting. You will also reflect on your learning and identify next steps in your Power BI journey.