This immersive course is designed for beginners and professionals seeking hands-on experience with Power BI. You’ll start with foundational skills like data retrieval and transformation, then progress to advanced techniques such as DAX expressions, data modeling, and workspace management. Through guided workshops, live demos, and a capstone project, you’ll learn to turn raw data into actionable insights while collaborating with peers. By the end, you’ll confidently design end-to-end analytics solutions and deliver value through compelling visualizations.

Introduction to Power BI

• Overview of Power BI ecosystem (Desktop, Service, Mobile).
• Navigating the interface and key functionalities.

Data Preparation & Transformation

• Connecting to data sources (Excel, SQL, APIs).
• Profiling and cleaning data with Power Query.
• Merging, pivoting, and shaping datasets.

Data Modeling & DAX

• Designing relational data models (star schema).
• Creating calculated columns, measures, and tables with DAX.
• Implementing variables, aggregations, and time intelligence.

Visualization & Reporting

• Building interactive dashboards and reports.
• Best practices for charts, maps, filters, and drill-throughs.
• Storytelling with data using themes and bookmarks.

Advanced Analytics

• Integrating AI insights (Quick Insights, decomposition trees).
• Forecasting and trend analysis.

Collaboration & Governance

• Managing workspaces, apps, and semantic models.
• Configuring row-level security (RLS) and data gateways.
• Publishing and sharing reports for self-service analytics.

Capstone Project

• End-to-end solution: From raw data to deployed dashboard.

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

• Extract, clean, and model data from diverse sources using Power Query.
• Design efficient data models and write advanced DAX formulas.
• Create interactive reports and dashboards aligned with stakeholder needs.
• Deploy and govern solutions using workspaces, RLS, and dataflows.
• Translate business requirements into actionable insights through visualization.
• Automate data workflows and enable self-service analytics.

Theory and Hands-on Workshops and Labs.