Power BI is a business intelligence platform that enables professionals to analyze data, create reports, and visualize insights. It provides tools for data modeling, transformation, and interactive reporting, allowing organizations to make data-driven decisions. This training program explores Power BI fundamentals, data modeling, DAX calculations, report development, and enterprise-level configurations. It empowers participants to structure data models, enhance reporting capabilities, and manage Power BI deployments effectively.
Identify the elements of Power BI and their functions in business intelligence.
Explore data modeling principles and DAX expressions for analytical calculations.
Assess visualization techniques for effective data representation.
Analyze governance and security structures within Power BI Service.
Evaluate integration frameworks and enterprise deployment configurations.
Data Analysts.
Business Intelligence Professionals.
IT Professionals.
Project Managers.
Professionals involved in data handling and reporting.
Key principles of Power BI and its role in business intelligence.
Key elements of Power BI and their functions.
Data acquisition and transformation methods using Power Query.
Data modeling structures for structured reporting.
Methods for creating fundamental reports and dashboards.
Key activities used for managing relationships between data tables.
Principles of DAX for calculated columns, measures, and tables.
Categories of DAX functions for data analysis.
Methods for optimizing data models for report efficiency.
Frameworks for structuring scalable data models.
Categories of advanced DAX expressions for analytical modeling.
Principles of data visualization for report clarity.
Functions of time intelligence in trend analysis.
Methods for enhancing interactivity and dynamic reporting.
Structures for organizing complex reports and dashboards.
Frameworks for publishing reports to Power BI Service.
Structures for configuring real-time dashboards and alerts.
Governance structures for managing workspaces and content distribution.
Security models for access control and report management.
Monitoring methods for Power BI deployment and performance.
Key activities used for connecting Power BI with external data sources.
Governance structures for automating data refresh and managing gateways.
Categories of custom visualizations, including R and Python integrations.
Principles of enterprise-scale Power BI deployment.
Analytical frameworks for AI-driven insights in Power BI.
