Online Courses

Identify your audience, choose suitable report types, and define interface and experience requirements to effectively plan your report design.

Data Analysis Expressions (DAX) is a formula language for Power BI that enables you to create calculations, add logic, and enhance data analysis within your reports and semantic models.

Visual calculations in Power BI simplify complex formulas by operating directly on visual data. Learn to create visual calculations that enhance analysis without impacting model performance.

Use Power Query to clean and prepare data for analysis. Learn to simplify models, change data types, rename objects, pivot data, and profile columns to identify valuable data for deeper analytics.

DAX time intelligence functions in Power BI enable users to analyze and compare data across different time periods, supporting insightful reporting on trends, growth, and performance over time.

Advanced analytics helps you gain deeper insights into your data, identify trends, and make data-driven decisions. Power BI provides a variety of tools and features to help you analyze your data effectively.

Scale apps in Azure App Service

Learn how to use generative AI models and agents with Microsoft Foundry.

Semantic models are the foundation for report development in Power BI. Efficient management ensures data connectivity and improves report performance and accuracy.

Learn how to use Azure Database for PostgreSQL as a data foundation for AI applications, including schema design, SQL queries, and Python integration.

In this module, you'll learn how Live Captions helps you follow spoken content in real time, making it easier to stay productive and access information in various environments and accessibility scenarios.

Tune pgvector configuration, select vector indexes, design efficient data layouts, and scale Azure Database for PostgreSQL for high-performance AI workloads.