Overview
Microsoft Power BI is a modern business intelligence platform that empowers decision-making by transforming data from diverse sources into meaningful, interactive visual reports. It plays a critical role in building a data-driven decision culture across organizations.
This training enables participants to master the core components of Power BI and build effective dashboards and reports by modeling, analyzing, and visualizing data. Participants learn how to turn raw data into actionable insights that deliver value to management and business units.
Who Is It For?
All professionals working with data
Finance, accounting, sales, marketing, and operations teams: Business units with reporting and analytics needs
Business intelligence and reporting specialists: Users looking to build interactive dashboards and reports
Managers and team leaders: Decision-makers producing visual and executive summary reports
Professionals transitioning from Excel-based reporting to Power BI
Prerequisites
Basic proficiency with computers and office applications
Prior experience working with data tables in Excel or similar tools
Familiarity with basic data concepts (rows, columns, tables)
No prior Power BI or DAX knowledge is required (covered from scratch during the training)
Learning Outcomes
Understand the core components and architecture of Power BI
Ingest data from multiple sources and prepare it for analysis
Clean and transform data using Power Query
Build data models and establish relationships across tables
Write foundational DAX expressions for custom calculations
Design interactive reports and dashboards
Contribute to decision-support processes through effective data visualization
Curriculum
Module 1 – Introduction to Power BI and Core Concepts
What Is Power BI?
Business Intelligence (BI) concept
Power BI use cases
Power BI Desktop, Service, and Mobile components
Power BI Interface
Report, data, and model views
Basic navigation and workflow
Module 2 – Connecting to Data Sources
Data Sources
Excel workbooks
CSV and text files
Connecting to databases (foundational level)
Data Ingestion Process
Importing data
Data refresh mechanics
Module 3 – Data Preparation with Power Query
Power Query Fundamentals
Data cleaning
Column and row operations
Transformation Operations
Filtering and sorting
Combining queries (Merge / Append)
Data types and resolving errors
Module 4 – Data Modeling
Data Model Concepts
Table relationships
Primary key and foreign key concepts
Modeling
Relationship cardinality types
Introduction to the Star Schema
Module 5 – Introduction to DAX
What Is DAX?
Difference between Measures and Calculated Columns
DAX syntax
Basic DAX Functions
SUM, AVERAGE, COUNT
Simple calculations and ratios
Module 6 – Reports and Visualization
Visual Types
Tables and matrices
Column, line, and pie charts
Report Design
Selecting effective visuals
Page layout and alignment
Module 7 – Interactive Dashboard Design
Interactivity Tools
Filters
Slicers
User Experience
Cross-filtering and visual interactions
Clean and readable dashboard design
Module 8 – Publishing and Sharing
Power BI Service
Publishing reports
Creating dashboards
Sharing and Security
Authorization concepts
Basic sharing scenarios
Module 9 – Applied Power BI Project
End-to-End Application
Data ingestion → modeling → reporting
Building a dashboard from a real business scenario
Review
Best practices
Participant Q&A and feedback
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