Duration 3 days – 21 hrs

 

Overview

 

The Data Visualization with Power BI Training Course is designed to help professionals transform raw data into meaningful insights through interactive dashboards and compelling visualizations using Microsoft Power BI. This course provides participants with the knowledge and practical skills needed to connect to various data sources, prepare and model data, create effective visualizations, and build dynamic dashboards that support data-driven decision-making.

 

Participants will learn best practices in data visualization, business intelligence reporting, and dashboard design to communicate insights clearly and effectively. Through hands-on exercises and real-world examples, participants will gain the confidence to build powerful reports that improve operational visibility and strategic planning.

 

Objectives

 

• Understand the fundamentals of data visualization and business intelligence.
• Navigate and effectively use Microsoft Power BI Desktop.
• Connect Power BI to different data sources such as Excel, databases, and cloud services.
• Clean, transform, and prepare data using Power Query.
• Build data models and relationships for reporting.
• Create interactive visualizations and dashboards.
• Use filters, slicers, and drill-down capabilities to analyze data.
• Publish and share reports using Power BI Service.
• Apply best practices in dashboard design and storytelling with data.

 

Target Audience

 

• Business Analysts
• Data Analysts
• Operations Managers
• Finance and Accounting Professionals
• Marketing and Sales Analysts
• Project Managers
• IT Professionals
• Professionals responsible for reporting and decision support

 

Prerequisites 

• Basic knowledge of Microsoft Excel

• Basic understanding of data tables and reporting concepts

• Experience working with business data is helpful but not required

Course Outline 

 

Module 1: Introduction to Data Visualization and Business Intelligence

 

• Understanding business intelligence concepts
• Importance of data visualization in decision-making
• Types of data visualizations
• Introduction to Microsoft Power BI ecosystem
• Power BI Desktop vs Power BI Service vs Power BI Mobile

 

Module 2: Getting Started with Power BI Desktop

 

• Installing and navigating Power BI Desktop
• Overview of the Power BI interface
• Importing and connecting to data sources
• Supported data sources and formats
• Managing datasets

 

Module 3: Data Preparation and Transformation with Power Query

 

• Introduction to Power Query Editor
• Cleaning and transforming data
• Handling missing or inconsistent data
• Merging and appending datasets
• Creating calculated columns
• Data transformation best practices

Module 4: Data Modeling in Power BI

 

• Understanding data models
• Creating relationships between tables
• Star schema vs flat data model
• Creating calculated columns and measures
• Introduction to Data Analysis Expressions (DAX)
• Managing data relationships and hierarchies

 

Module 5: Creating Visualizations

 

• Creating basic visualizations
• Column, bar, and line charts
• Pie charts and donut charts
• Tables and matrix visualizations
• Maps and geographic visualizations
• Cards, KPIs, and gauges
• Custom visualizations

 

Module 6: Designing Interactive Dashboards

 

• Using filters and slicers
• Drill-down and drill-through functionality
• Creating interactive reports
• Cross-filtering and highlighting
• Designing user-friendly dashboards
• Data storytelling techniques

 

Module 7: Advanced Visualization Features

 

• Conditional formatting
• Tooltips and dynamic visuals
• Bookmarks and report navigation
• Using themes and visual customization
• Performance optimization for reports

 

Module 8: Publishing and Sharing Reports

 

• Publishing reports to Power BI Service
• Creating dashboards in Power BI Service
• Sharing reports with teams
• Data refresh and scheduling
• Managing workspaces and permissions
• Exporting reports

 

Hands-on Exercises and Workshops

 

• Connecting Power BI to real datasets
• Data cleaning and transformation workshop
• Building a sales or operations dashboard
• Designing an executive KPI dashboard
• Publishing and sharing reports