• Basic knowledge of computers and Windows operating system.
• Familiarity with Microsoft Excel (rows, columns, tables, and basic formulas).
• Ability to work with files and folders on a computer.
• Access to a Windows 10 or Windows 11 computer.
• Stable internet connection for Power BI Service and cloud-based activities.
• A Microsoft account for accessing Power BI Service.
• Basic understanding of business processes such as sales, finance, HR, or operations (recommended but not mandatory).
• Interest in data analysis, reporting, and visualization.
• Willingness to participate in hands-on exercises and practical projects.
• No prior experience with Power BI, Business Intelligence, or programming is required.

This comprehensive 4-week Power BI course is designed to take learners from foundational concepts to advanced enterprise-level analytics. Participants will learn how to connect, transform, model, visualize, and analyze data using Microsoft's leading Business Intelligence platform.

The course begins with the fundamentals of Power BI, including the Power BI ecosystem, data connectivity, data transformation using Power Query, and report development. Learners will then progress to intermediate analytics techniques such as data modeling, DAX calculations, KPI creation, and interactive dashboards.

In the advanced stages, participants will explore artificial intelligence features, advanced DAX functions, predictive analytics, performance optimization, and advanced visualization techniques. The course concludes with enterprise deployment, governance, security, collaboration, real-world business applications, and capstone projects that simulate industry scenarios.

Through practical exercises, case studies, and real-world projects, learners will gain the skills required to build professional dashboards, generate actionable business insights, and support data-driven decision-making across various industries.

Key Highlights

• Learn Power BI from beginner to advanced level.
• Master data transformation using Power Query.
• Build professional dashboards and reports.
• Create advanced calculations using DAX.
• Explore AI-powered analytics and forecasting.
• Implement Row-Level Security (RLS) and governance.
• Publish and share reports using Power BI Service.
• Work on real-world business scenarios and projects.
• Understand enterprise reporting and collaboration.
• Gain industry-relevant Business Intelligence skills.

Upon successful completion of this course, learners will be able to:

• Understand the complete Power BI ecosystem and its components.
• Install, configure, and navigate Power BI Desktop and Power BI Service.
• Connect Power BI to various data sources including Excel, databases, cloud platforms, and web sources.
• Clean, transform, and prepare data using Power Query Editor.
• Design and manage efficient data models and table relationships.
• Create professional and interactive reports using a variety of visualizations.
• Develop advanced calculations using DAX functions, measures, and calculated columns.
• Build dynamic dashboards, KPIs, scorecards, and business performance reports.
• Apply AI-powered analytics features such as forecasting, anomaly detection, and smart insights.
• Implement Row-Level Security (RLS) and enterprise data governance practices.
• Publish, share, and collaborate on reports through Power BI Service.
• Optimize report performance and follow industry best practices.
• Analyze business data to support informed decision-making.
• Develop real-world analytics solutions for sales, finance, HR, operations, healthcare, and education domains.
• Complete an end-to-end Power BI project from data preparation to dashboard deployment.