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Mastering Data Analysis and Visualization with Microsoft Power BI

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Mastering Data Analysis and Visualization with Microsoft Power BI

G2168

Cairo (Egypt)

06 Sep 2026 -10 Sep 2026

4040 €

Overview

Introduction:

Mastering Microsoft Power BI enables organizations to transform raw data into meaningful insights that support informed decision-making and organizational performance. It integrates data connectivity, data modeling, visualization, business intelligence, analytics, dashboard design, governance, and reporting to strengthen data driven operations and strategic planning. This training program explores Microsoft Power BI frameworks, data analysis methodologies, visualization techniques, and reporting practices. It provides an institutional perspective on how Power BI strengthens business intelligence, analytical capabilities, and organizational decision-making.

Program Objectives:

By the end of this program, participants will be able to:

  • Analyze organizational data using Microsoft Power BI to support informed decision making.

  • Evaluate data modeling, visualization, and analytical approaches that strengthen business intelligence.

  • Assess reporting, dashboard, and performance monitoring practices for organizational insights.

  • Examine data governance, security, and reporting standards within Power BI environments.

  • Explore business intelligence strategies that enhance organizational performance through data-driven analysis.

Target Audience:

  • Data Analysts.

  • Business Intelligence Professionals.

  • Business and Financial Analysts.

  • Reporting and Performance Management Professionals.

  • Professionals seeking to strengthen Microsoft Power BI capabilities.

Program Outline:

Unit 1:

Foundations of Microsoft Power BI:

  • Microsoft Power BI architecture.

  • Power BI Desktop and Power BI Service.

  • User interface and workspace components.

  • Data connectivity frameworks.

  • Business intelligence concepts.

Unit 2:

Data Modeling and Transformation:

  • Data import methodologies.

  • Power Query transformation frameworks.

  • Data integration models.

  • Data modeling relationships.

  • Data Analysis Expressions (DAX).

Unit 3:

Data Visualization and Dashboard Design:

  • Data visualization principles.

  • Visualization design frameworks.

  • Interactive reporting models.

  • Dashboard development frameworks.

  • Information visualization standards.

Unit 4:

Advanced Analytics and Business Intelligence:

  • Advanced analytical frameworks.

  • Time intelligence models.

  • Statistical analysis methodologies.

  • Artificial intelligence capabilities in Power BI.

  • Predictive analytics frameworks.

Unit 5:

Power BI Governance and Collaboration:

  • Report publishing and sharing frameworks.

  • Workspace governance models.

  • Data security and row level security structures.

  • Performance monitoring frameworks.

  • Power BI administration and governance.