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

• Identify the various tools within the Power BI ecosystem and learn how to use them effectively

• Understand Power BI Desktop and its core components

• Learn how to use the Query Editor to connect Power BI to different types of data sources, work with data models, and understand the distinction between data preparation and data modeling

• Work with the different views of the data model

• Create calculated columns and measures

• Build relationships between different tables

• Develop reports using a wide range of interactive visualization types

• Learn how to use the Power BI Service (Power BI Pro) to create dashboards, share insights, and publish reports

• Create custom visuals using formatting options and developer tools in Power BI

• Access and interact with reports and dashboards across multiple devices using Power BI Mobile

Day One: Data Preparation (20–25%)

Data Extraction and Connectivity:

• Identifying data sources, connecting to them, and modifying source settings

• Selecting shared or local datasets

• Choosing the appropriate query type

Data Cleaning and Loading:

• Identifying outliers, cleaning, and transforming data

• Handling missing values and data inconsistencies

• Using Power Query M to transform and load data

• Managing data import errors

Day Two: Data Model Design and Development (30–35%)

Model Design:

• Defining tables and relationships, creating a shared date table

• Identifying role-playing dimensions and resolving many-to-many relationships

• Optimizing the data model to meet performance requirements

Creating Measures Using DAX:

• Using DAX to build complex measures and applying CALCULATE for filter context manipulation

• Implementing time intelligence using DAX

Performance Optimization:

• Optimizing measures and relationships to enhance performance

• Managing aggregations and optimizing data storage

Day Three: Data Visualization (20–25%) – Report Creation

Report Development:

• Adding and designing visual elements, formatting visuals

• Using R and Python visuals, adding slicers and filters

• Designing accessible reports with automatic refresh capabilities

Dashboard Creation:

• Managing tiles within dashboards and applying alerts

• Adding interactions between visuals and customizing navigation

• Exporting report data and designing reports for mobile devices

Advanced Data Analysis:

• Applying conditional formatting and analyzing statistical summaries

• Performing time-series analysis, detecting outliers, and leveraging AI Insights

Final Practical Workshop

At the end of the program, the trainer provides a comprehensive summary of all the topics covered, with a focus on the most critical concepts encountered in real-world professional environments. Participants are then divided into groups and assigned a practical, hands-on exercise that simulates real workplace scenarios and daily challenges faced by employees.

Each team is required to complete a set of assigned tasks, while the trainer circulates among the groups to review their approach, discuss implementation steps, and provide guidance. Finally, each team presents the outcomes of their final project to the audience for evaluation and performance assessment.