Power BI for Data Analysis & Business Intelligence

Power BI for Data Analysis & Business Intelligence, Master Power BI with dashboards, data modeling, DAX, and data visualization for data analysis & business intelligence.
Course Description
Power BI for Data Analysis & Business Intelligence is a complete, hands-on course that teaches you how to transform raw data into meaningful insights using Microsoft Power BI. Whether you’re a beginner or looking to enhance your analytical skills, this course equips you with the tools needed to create powerful business intelligence solutions from start to finish.
You’ll learn how to connect data from various sources, clean and model it effectively, perform calculations using DAX, and design interactive dashboards that support informed decision-making.
What You Will Learn:
- Power BI Interface & Workflow
- Understand the layout and tools of Power BI Desktop
- Learn how to connect to data sources such as Excel, databases, and the web
- Data Cleaning and Transformation with Power Query
- Use Power Query to clean, shape, and structure raw data
- Perform tasks like merging, appending, filtering, and custom column creation
- Data Modeling
- Create relationships between tables to build a structured data model
- Understand star schema design and build efficient data models
- DAX (Data Analysis Expressions)
- Write DAX formulas to create calculated columns, measures, and KPIs
- Perform advanced calculations including time intelligence and filtering
- Interactive Dashboards and Visualizations
- Design professional dashboards using charts, maps, tables, and slicers
- Implement features like drillthroughs, tooltips, and bookmarks for interactivity
- Real-World Projects and Use Cases
- Work on practical projects based on common business scenarios
- Learn how to approach and deliver complete BI solutions
Who This Course is For:
- Beginners in data analysis or business intelligence
- Business professionals who want to make data-driven decisions
- Excel users transitioning to Power BI
- Students or job seekers preparing for data-related roles