AI and Power BI

Explore the data warehousing process and learn how to load, monitor, secure, and query a warehouse in Microsoft Fabric.

Explore the data science process and learn how to train machine learning models to accomplish artificial intelligence in Microsoft Fabric.

Transform and load data, define semantic model relationships and calculations, create interactive visuals, and distribute reports using Power BI.

This course provides students with an introduction to Microsoft Power BI by building a foundation for all subsequent courses and learning.

This course provides students with an introduction to data visualisation in Power BI in an intuitive step by step process.

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.

The main purpose of the course is to give students a good understanding of data analysis with Power BI.

The primary audience for this course is data professionals who are familiar with data modeling, extraction, and analytics. It is designed for professionals who are interested in gaining knowledge about Lakehouse architecture, the Microsoft Fabric platform, and how to enable end-to-end analytics using these technologies.

The primary audience for this course is data professionals with experience in data modeling, extraction, and analytics. DP-600 is designed for professionals who want to use Microsoft Fabric to create and deploy enterprise-scale data analytics solutions.