Comprehensive Mastery of Power BI from Basics to Advanced

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:

• 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.

Targeted Audience:

• Data Analysts.

• Business Intelligence Professionals.

• IT Professionals.

• Project Managers.

• Professionals involved in data handling and reporting.

Program Outline:

Unit 1:

Introduction to Power BI:

• 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.

Unit 2:

Data Modeling Essentials:

• 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.

Unit 3:

Advanced Data Analysis and Visualization:

• 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.

Unit 4:

Publishing and Administration:

• 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.

Unit 5:

Integrations and Advanced Configurations:

• 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.