BUSINESS DATA ANALYTICS AND VISUALIZATION WITH POWER BI

INTRODUCTION
Data is everywhere, but having data alone does not create value. What really matters is the ability to understand data, turn it into insights, and communicate those insights clearly so better business decisions can be made.

This 3-day training is designed to help participants move from raw data to meaningful business insights using Microsoft Power BI. The course focuses on real business scenarios, practical exercises, and easy-to-understand explanations, and no heavy technical background required. Participants will learn how to analyze data, create powerful visualizations, and build interactive dashboards that tell a clear business story.

By the end of the training, participants will feel confident using Power BI to explore data, spot trends, and present insights in a way that decision-makers can easily understand and act on.
 

COURSE OBJECTIVES

By the end of this 3-day training, participants will be able to:

• Understand the role of data analytics in business decision-making
• Connect, clean, and transform data using Power BI
• Analyze business data using simple and advanced techniques
• Create clear, interactive, and professional visualizations
• Build dashboards that tell a compelling business story
• Share insights and reports effectively with stakeholders

COURSE OUTLINE

Module 1: Introduction to Business Data Analytics

• What data analytics means for modern businesses
• Types of analytics: descriptive, diagnostic, predictive, prescriptive
• How data supports better decisions
• Real-life business examples

Module 2: Getting Started with Power BI

• Overview of the Power BI ecosystem
• Power BI Desktop, Service, and Mobile
• Navigating the Power BI interface
• Understanding reports, dashboards, and datasets

Module 3: Connecting to Data Sources

• Importing data from Excel, CSV, databases, and online sources
• Understanding data models and tables
• Best practices for data connections
• Common data challenges

Module 4: Data Cleaning and Transformation with Power Query

• Cleaning messy and incomplete data
• Removing duplicates and errors
• Transforming data for analysis
• Practical hands-on exercises

Module 5: Data Modeling Fundamentals

• Relationships between tables
• Star schema and data modeling best practices
• Managing data fields and hierarchies
• Improving model performance

Module 6: Introduction to DAX for Business Analysis

• Understanding basic DAX concepts
• Common DAX functions for analysis
• Creating calculated columns and measures
• Practical business use cases

Module 7: Creating Effective Data Visualizations

• Choosing the right chart for the right insight
• Designing clear and meaningful visuals
• Formatting and layout best practices
• Avoiding common visualization mistakes

Module 8: Building Interactive Reports

• Using filters, slicers, and drill-down features
• Creating interactive user experiences
• Designing reports for different audiences
• Hands-on report building

Module 9: Designing Business Dashboards

• Dashboard vs report: knowing the difference
• Key performance indicators (KPIs)
• Creating executive-level dashboards
• Turning data into actionable insights

Module 10: Data Storytelling and Business Insights

• Telling a story with data
• Structuring insights for decision-makers
• Using visuals to support key messages
• Presenting data with confidence

Module 11: Publishing, Sharing, and Collaboration

• Publishing reports to Power BI Service
• Sharing dashboards securely
• Collaboration and workspace management
• Data refresh and governance basics

Module 12: Best Practices, Use Cases, and Next Steps

• Real-world business use cases
• Performance and design best practices
• Common mistakes and how to avoid them
• Building a personal Power BI learning roadmap