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

• Identify the various tools within the Power BI environment and understand how to use them effectively.
• Understand Power BI Desktop and its components.
• Learn how to use the Query Editor in Power BI to connect to different types of data sources, work with data models, and understand the distinction between these two processes.
• Work within the different data model views.
• Create calculated columns and measures.
• Build relationships between different tables.
• Create reports using a variety of interactive visualizations.
• Learn how to use the Power BI Service (Power BI Pro) to create dashboards, share insights, and publish results.
• Create custom visuals using scripting and developer tools in Power BI.
• Access and interact with results across multiple devices using Power BI Mobile.

Day 1: Data Preparation (20–25%)

Data Extraction and Connection:

• Identify the data source, establish connections, and modify source settings.
• Define shared or local datasets.
• Select the appropriate query type.

Data Cleaning and Loading:

• Inspect, clean, and transform inconsistent or irregular data.
• Resolve missing values or data discrepancies.
• Use Power Query M to modify and load data.
• Handle data import errors effectively.

Day 2: Data Modeling and Development (30–35%)

Model Design:

• Define tables and relationships, and create a shared date table.
• Set up role-playing dimensions and resolve many-to-many relationships.
• Optimize the model to meet performance requirements.

Creating Measures with DAX:

• Use CALCULATE to build complex measures and handle filters.
• Apply time intelligence using DAX functions.

Performance Optimization:

• Improve measures and relationships for better performance.
• Manage aggregations and optimize datasets.

Day 3: Data Visualization and Reporting (20–25%)

Report Creation:

• Add and design visualization elements; format visuals effectively.
• Integrate R and Python visuals.
• Design accessible and automatically refreshed reports.

Dashboard Development:

• Manage dashboard tiles and apply alerts.
• Add interactions between visuals and customize navigation.
• Export report data and design reports for mobile devices.

Advanced Data Analysis

• Apply conditional formatting and statistical summary analysis.
• Use AI Insights for time series analysis and outlier detection.

Final Activity

At the end of the program, the instructor provides a comprehensive review of all covered materials, focusing on key concepts and real-world challenges.
Participants are then divided into teams to complete a practical, hands-on exercise simulating real workplace scenarios.
Each team discusses and executes their assigned tasks, followed by presenting their final project outcomes to the group for evaluation of both team and individual performance.