This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution.

Course Prerequisites

To ensure success in this course, participants should meet the following prerequisites:

• Familiarity with basic data concepts and Microsoft Excel
• Understanding of data visualization principles and reporting
• Basic experience with Microsoft 365 and Windows environments
• Willingness to engage in practical labs and hands-on exercises
• No prior Power BI experience is required, though familiarity is beneficial

These prerequisites ensure that learners can smoothly transition into working with Power BI tools and techniques.

Target Audience

This course is ideal for:

• Data Analysts and Business Intelligence Professionals
• Report Developers working with cloud or on-premises data platforms
• IT Professionals seeking to enhance reporting and data visualization capabilities
• Database Administrators exploring self-service BI options
• Power Users and Business Users who regularly work with data and need to deliver insights
• Professionals preparing for the Microsoft Power BI Data Analyst certification

Why Choose us

⭢ Live Online Training (Duration : 24 Hours)

⭢ Guaranteed to run classes

⭢ Experienced & certified trainers

⭢ Query Handling session

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Learning Objectives

After completing the PL-300T00: Microsoft Power BI Data Analyst course, learners will be able to:

• Understand Power BI’s role in Microsoft’s data analytics ecosystem
• Connect to multiple data sources and perform data profiling and error handling
• Shape, transform, and clean data using Power Query
• Design efficient and scalable data models using DAX calculations
• Create interactive reports and dashboards for business insights
• Apply advanced analytics techniques and AI visuals
• Implement row-level security to safeguard data access
• Share, publish, and manage content within the Power BI Service
• Integrate Power BI with other Microsoft tools for seamless collaboration
• Use real-world labs to solidify concepts and apply them in practice