Basic Power BI

Introduction:

Power BI represents a structured analytics platform that enables organizations to transform data into visual insights and performance intelligence. It integrates data connection frameworks, transformation models, and visualization structures to support informed decision-making across business environments. This training program presents Power BI frameworks, data modeling structures, and visualization systems aligned with modern analytics environments. It provides an institutional perspective on how data is structured, analyzed, and presented through interactive dashboards and reporting systems.

Program Objectives:

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

• Analyze Power BI frameworks and data analytics structures within business environments.

• Evaluate data integration, transformation, and preparation models.

• Assess visualization and dashboard design structures within reporting systems.

• Examine data modeling and analytical calculation frameworks.

• Explore reporting governance, sharing structures, and performance optimization models.

Target Audience:

• Data analysts.

• Business intelligence professionals.

• IT and system specialists.

• Business users working with data.

• Professionals involved in reporting and analytics.

Program Outline:

Unit 1:

Foundations of Power BI and Data Integration:

• Power BI platform components within analytics environments.

• Data sources across structured and unstructured systems.

• Interface structure within Power BI environments.

• Data import frameworks across multiple formats.

• Data transformation concepts within Power Query systems.

Unit 2:

Data Visualization and Dashboard Structures:

• Visualization types within reporting environments.

• Formatting structures within visual design systems.

• Filtering mechanisms within interactive reports.

• Dashboard composition within analytical environments.

• Relationship between visualization and insight clarity.

Unit 3:

Data Modeling and Analytical Structures:

• Data model components within Power BI environments.

• Relationships between tables within analytical systems.

• Calculated fields within data models.

• DAX structures within analytical calculations.

• Impact of modeling on analysis accuracy.

Unit 4:

Reporting, Sharing, and Governance:

• Reporting structures within Power BI environments.

• Sharing models across organizational systems.

• Access control within reporting platforms.

• Collaboration structures within analytics environments.

• Integration with enterprise systems and platforms.

Unit 5:

Advanced Interactivity and Performance Optimization:

• Interactive navigation within reporting systems.

• Drill down and exploration structures within dashboards.

• Performance factors within analytical environments.

• Design consistency within reporting frameworks.

• Export and distribution structures within reporting systems.