This course will teach you about the Power BI visual analysis features so that you have the knowledge and know how to apply this and answer related questions in the PL-300 exam.

Identifying and defining business challenges is crucial for developing data science solutions and aligning stakeholders. This course teaches you to recognize key problems that data science can address.

Learn to process, transform, and manipulate images at your will.

Discover techniques for image recognition using machine learning, focusing on model training, evaluation, and real-world applications.

Stream processing enables you to capture and analyze data in real-time. Azure Stream Analytics is a cloud-based stream processing engine that you can use to build highly scalable real-time analytics solutions.

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

This learning path introduces the foundational components of implementing a data lakehouse with Microsoft Fabric.

Implement SQL Server-based options for authentication and authorization, as well as Azure options for securing Azure SQL databases. Explore encryption, firewalls and advanced threat protection.

This learning path takes analysts through visualizing data in Power BI. You'll learn about visuals in Power BI reports, using Power BI to visualize real-time data, and visualizing data in paginated reports. This learning path helps you prepare for the Azure Enterprise Data Analyst Certification.

Learn how to work with Azure Arc enabled servers, data services and Kubernetes.

Azure Synapse Link for SQL enables low-latency synchronization of operational data in a relational database to Azure Synapse Analytics.

Explore data classification capabilities and degrees of confidentiality. Implement security options to maintain private data safe, including Azure SQL auditing, Microsoft Defender for SQL, row-level security, Dynamic Data Masking and Azure SQL Database Ledger.