Learn to detect fraud with analytics in R.

Learn how to transition from using Pandas to PySpark DataFrame, focusing on distributed data processing techniques and performance optimization.

Power BI Reports are an excellent way for your data to tell a story, but everything starts with properly obtaining it from various sources. This course will teach you how to gather external data with Power BI, as preparation for the PL-300 exam.

Save and use your machine learning models in Microsoft Fabric to generate batch predictions and enrich your data.

The first step to insights begins in Power BI Desktop where you connect to and transform your data in preparation for data modeling. Start here to learn how to ingest and transform data in Power BI.

You'll learn how to retrieve data from a variety of data sources, including Microsoft Excel, relational databases, and NoSQL data stores. You'll also learn how to improve performance while retrieving data.

Learn about Power BI, the building blocks and flow of Power BI, and how to create compelling, interactive reports.

Learn how to use Transact-SQL to query data in a database.

Use Data Activator in Microsoft Fabric to easily monitor and take action on your data.

In Microsoft Fabric, data scientists can manage data, notebooks, experiments, and models while easily accessing data from across the organization and collaborating with their fellow data professionals.

Data warehouses are analytical stores built on a relational schema to support SQL queries. Microsoft Fabric enables you to create a relational data warehouse in your workspace and integrate it easily with other elements of your end-to-end analytics solution.

Lakehouses merge data lake storage flexibility with data warehouse analytics. Microsoft Fabric offers a lakehouse solution for comprehensive analytics on a single SaaS platform.