Overview
The Power BI Course is designed to empower participants to transform raw data into meaningful insights through interactive dashboards and visual reports that support strategic decision-making.
By combining data modeling, visualization, and AI-driven analytics, the course enables professionals to understand business performance, enhance operational efficiency, and promote a data-driven culture.
Through practical exercises and real project case studies, participants will gain hands-on experience in building powerful visual tools that align with digital transformation initiatives and organizational performance goals.
Course Objectives
- Understand the components and role of Power BI within the Business Intelligence ecosystem.
- Import and connect data from multiple sources (Excel, SQL, ERP, etc.).
- Clean and transform data using Power Query.
- Build and manage data models using DAX formulas.
- Design professional interactive dashboards and reports.
- Publish and share reports securely via Power BI Service.
- Apply advanced analytics and AI features for predictive insights.
- Support data-driven decision-making aligned with organizational objectives
Course Features
- Lectures 0
- Quizzes 0
- Duration 15 hours
- Skill level All levels
- Language English
- Students 0
- Certificate No
- Assessments Yes
Curriculum
- 5 Sections
- 0 Lessons
- 15 Hours
Expand all sectionsCollapse all sections
- Module 1: Introduction to Business Intelligence & Power BI0
- Module 2: Connecting and Transforming Data0
- Module 3: Data Modeling and DAX Fundamentals0
- Module 4: Data Visualization & Dashboard Design0
- Module 5: Publishing, Sharing, and Collaboration0
Requirements
- Participants are expected to have a basic understanding of: Microsoft Excel (formulas, tables, charts) Fundamental data concepts (rows, columns, relationships, etc.) Basic business or project management reporting concepts (No prior experience with Power BI or programming is required.)
Features
- 1. Practical, Hands-On Learning
- 2. Real Project Case Studies
- 3. Step-by-Step Data Journey
- 4. Interactive and Collaborative Approach
- 5. Customization for Organizational Needs
- 6. Certification and Takeaway Materials
Target audiences
- ● Project, Program, and Portfolio Managers (PMs, PgMs, PfMs).
- ● Data and Performance Analysts in technical or business units.
- ● PMO and Corporate Performance Teams
- ● Planning, Risk, and Cost Engineers.
- ● Digital Transformation and BI Professionals.
- ● Any professional aiming to develop data analysis and visualization capabilities.
