PL-300T00 – Microsoft Power BI Data Analyst – Virtual Course

About This Course:

This course dives into the essential skills needed for data modeling, visualization, and analysis with Microsoft Power BI, a leading business intelligence tool. You’ll explore various best practices for transforming raw data into meaningful insights that drive better decision-making across organizations. Starting with an overview of Power BI, the course covers key concepts in data preparation, such as connecting to diverse data sources—including both relational databases like SQL Server and non-relational sources like Azure Blob Storage.

The course also emphasizes techniques for cleaning and shaping data to improve data quality and ensure accurate insights. You’ll learn to build visualizations that present complex data in an easy-to-understand format, utilizing charts, maps, and custom visuals. Additionally, you’ll create interactive reports and dashboards, equipping you with tools to deliver real-time insights across teams. This course further covers advanced functions within Power BI, such as DAX (Data Analysis Expressions) for more sophisticated data manipulation, and explores the integration of Power BI with other Microsoft tools, such as Excel and Azure.

Finally, the course will guide you through managing and deploying content, ensuring reports and dashboards are shared securely and efficiently. You’ll also learn how to implement best practices for governance and security in Power BI, which is crucial for data distribution across departments or the organization.

Audience:

This course is designed for data professionals and business intelligence professionals who aim to enhance their skills in performing data analysis with Power BI. It’s also ideal for those who develop reports that visualize data from on-premises and cloud-based data platforms.

Prerequisites:

Successful data analysts often begin this role with cloud data experience, particularly in:

• Core data concepts.
• Working with relational data in the cloud.
• Working with non-relational data in the cloud.
• Data analysis and visualization principles.

To prepare for this course, consider completing Microsoft Azure Data Fundamentals for a strong foundation in working with data in Azure.