Overview
Introduction:
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.
Program Objectives:
By the end of this program, participants will be able to:
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Identify the elements of Power BI and their functions in business intelligence.
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Explore data modeling principles and DAX expressions for analytical calculations.
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Assess visualization techniques for effective data representation.
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Analyze governance and security structures within Power BI Service.
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Evaluate integration frameworks and enterprise deployment configurations.
Targeted Audience:
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Data Analysts.
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Business Intelligence Professionals.
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IT Professionals.
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Project Managers.
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Professionals involved in data handling and reporting.
Program Outline:
Unit 1:
Introduction to Power BI:
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Key principles of Power BI and its role in business intelligence.
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Key elements of Power BI and their functions.
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Data acquisition and transformation methods using Power Query.
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Data modeling structures for structured reporting.
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Methods for creating fundamental reports and dashboards.
Unit 2:
Data Modeling Essentials:
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Key activities used for managing relationships between data tables.
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Principles of DAX for calculated columns, measures, and tables.
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Categories of DAX functions for data analysis.
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Methods for optimizing data models for report efficiency.
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Frameworks for structuring scalable data models.
Unit 3:
Advanced Data Analysis and Visualization:
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Categories of advanced DAX expressions for analytical modeling.
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Principles of data visualization for report clarity.
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Functions of time intelligence in trend analysis.
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Methods for enhancing interactivity and dynamic reporting.
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Structures for organizing complex reports and dashboards.
Unit 4:
Publishing and Administration:
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Frameworks for publishing reports to Power BI Service.
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Structures for configuring real-time dashboards and alerts.
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Governance structures for managing workspaces and content distribution.
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Security models for access control and report management.
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Monitoring methods for Power BI deployment and performance.
Unit 5:
Integrations and Advanced Configurations:
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Key activities used for connecting Power BI with external data sources.
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Governance structures for automating data refresh and managing gateways.
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Categories of custom visualizations, including R and Python integrations.
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Principles of enterprise-scale Power BI deployment.
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Analytical frameworks for AI-driven insights in Power BI.