This module explores how to seamlessly connect Power BI with popular Microsoft 365 tools such as Excel and Teams. Learners will discover integration methods, collaboration features, and practical workflows to enhance data-driven decision-making within familiar Office environments.

This module introduces data scientists to advanced Power BI features tailored for analytics workflows, including visualization techniques, anomaly detection, and sentiment analysis. Learners will explore how to leverage semantic models and AutoML capabilities within the Power BI and Fabric ecosystem to extract and present actionable insights. Practical scenarios demonstrate how these tools can enhance data exploration and communication of results.

This module explores advanced data protection strategies in Power BI and Microsoft Fabric using Microsoft Purview and Defender. Learners will discover how to configure and inherit sensitivity labels, as well as implement data loss prevention policies to safeguard sensitive information. Practical guidance on permissions and policy enforcement is also provided.

This module explores the principles and practices of establishing effective governance for Power BI and Microsoft Fabric environments. Learners will discover how to organize workspaces using domains, balance security with user empowerment, and design governance models tailored for managed self-service BI scenarios. By the end, participants will be equipped to implement governance strategies that support both compliance and agility.

This module explores how to effectively manage and optimize resource capacities within Power BI/Fabric environments. Learners will discover key concepts such as bursting, smoothing, and throttling, and learn to configure capacity settings and develop strategies for handling high utilization scenarios.