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PL-300T00: Microsoft Power BI Data Analyst Course Overview

PL-300T00: Microsoft Power BI Data Analyst Course Overview

The PL-300T00: Microsoft Power BI Data Analyst course is designed to equip learners with comprehensive knowledge and skills to analyze data with Power BI. It covers a wide range of topics, starting with getting started with Microsoft Data Analytics, where learners are introduced to the concepts of data analytics within the Microsoft ecosystem and the fundamentals of using Power BI, including hands-on labs.

As learners progress, they explore modules on getting data, transforming data, and data modeling using Power BI Desktop. The course emphasizes practical skills in data cleaning, DAX, report creation, data analysis, and performance optimization.

Advanced modules teach participants about creating dashboards, applying row-level security, and enhancing reports for usability. The course also covers managing workspaces, datasets, and sharing content within the Power BI service. By the end of the course, learners will have hands-on experience with Power BI Desktop and Power BI Service, enabling them to transform raw data into compelling data visualizations and reports for insightful business decision-making.

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  • Live Online Training (Duration : 24 Hours)
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  • Guaranteed-to-Run (GTR)
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♱ Excluding VAT/GST

Classroom Training price is on request

  • Live Online Training (Duration : 24 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

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Course Prerequisites

To ensure the best possible learning experience and success in the PL-300T00: Microsoft Power BI Data Analyst course, it is recommended that students possess the following prerequisites:


  • Basic understanding of data concepts, such as data analysis, data structures, and data relationships.
  • Familiarity with Microsoft Excel, particularly in using formulas and functions.
  • Basic experience with handling data in spreadsheets or databases.
  • A willingness to learn new technologies and analytical techniques.
  • Access to a computer with Power BI Desktop installed to practice course exercises and labs.

Please note that while these prerequisites are aimed at providing a foundation for the course content, the course is designed to accommodate learners with a variety of backgrounds and experiences. Passion for learning and a commitment to engage with the course material are as important as any technical pre-existing knowledge.


Target Audience for PL-300T00: Microsoft Power BI Data Analyst

The PL-300T00: Microsoft Power BI Data Analyst course equips professionals with data analytics and visualization skills using Power BI.


Target audience for the PL-300T00 course includes:


  • Data Analysts
  • Business Intelligence Professionals
  • Report Developers
  • IT Professionals interested in data analytics
  • Business Analysts
  • Data Engineers looking to visualize data
  • Professionals seeking to improve reporting processes
  • Data Scientists requiring reporting capabilities
  • Project Managers dealing with data-driven projects
  • Database Administrators wanting to expand their skillset into analytics
  • Consultants providing data visualization solutions


Learning Objectives - What you will Learn in this PL-300T00: Microsoft Power BI Data Analyst?

Introduction to the Course Learning Outcomes:

This PL-300T00: Microsoft Power BI Data Analyst course equips learners with comprehensive skills in data analytics, modeling, and reporting using Power BI to drive business insights.

Learning Objectives and Outcomes:

  • Understand the role of data analytics within Microsoft's ecosystem and begin working with Power BI.
  • Connect to various data sources, profile the data for accuracy, and resolve any data errors.
  • Shape and transform data structures, enhancing and optimizing performance for data analytics.
  • Design effective data models in Power BI, understanding the importance of tables, dimensions, and hierarchies.
  • Gain proficiency in DAX (Data Analysis Expressions) for creating advanced calculations and measures.
  • Design interactive and visually compelling reports to communicate data insights effectively.
  • Perform advanced data analysis, utilizing AI visuals to uncover trends and patterns.
  • Optimize Power BI models for performance, including DirectQuery models and managing aggregations.
  • Implement row-level security to manage data access and compliance within Power BI reports and dashboards.
  • Create and manage workspaces, distribute content, and manage datasets and dashboards for collaborative analytics.