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This course is a complete guide to Microsoft Power BI, a business intelligence tool for turning raw data into interactive reports and dashboards. It is designed for beginners, business analysts, and managers, covering everything from installation and connecting to data sources to advanced data transformation, DAX formulas, and publishing reports online. The training uses real-world examples and step-by-step tutorials to help users build practical skills for data-driven decision-making.
- The curriculum includes 9 modules, starting with basics like installation and interface, and moving to advanced topics like Power Query Editor for data cleaning and DAX for creating calculated tables, columns, and measures.
- Learners will practice creating various visual elements such as cards, tables, gauge charts, and slicers, and learn to apply conditional formatting for clearer data presentation.
- The course covers connecting Power BI to multiple data sources, including Excel, JSON, SQL Server, web pages, and APIs, as well as using Python scripts for data sourcing and cleaning.
- A key section focuses on building and formatting interactive dashboards, publishing reports to the Power BI Service, and setting up report subscriptions for automated sharing.
- By the end, users will be able to create visual reports, perform deep data analysis with DAX, and use Power BI to support informed business decisions.
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Power BI is a leading business intelligence tool developed by Microsoft, designed to help users visualize and analyze data effectively.
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It transforms raw data into interactive reports and dashboards, making it easier for businesses to make informed decisions.
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This course is ideal for:
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Beginners new to data visualization and reporting
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Business analysts and professionals seeking automation in reporting
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Managers and decision-makers aiming to understand data insights
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The course covers Power BI from basic to advanced levels, ensuring a complete learning journey.
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Key topics included:
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Introduction to Power BI features and interface
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Creating visual elements like cards, tables, gauge charts, and slicers
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Data transformation using Power Query Editor (Group Rows, Pivot, Custom Columns)
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Working with DAX (Calculated Tables, Columns, Measures)
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Building and formatting interactive dashboards and reports
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Publishing and subscribing to reports in Power BI Service
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The course includes real-world examples and step-by-step tutorials for practical understanding.
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By the end of this course, you will:
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Confidently create visual reports and dashboards
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Perform deep data analysis using DAX
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Use Power BI to support data-driven decision making
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✅ Power BI Course Syllabus
Module 1: Getting Started with Power BI
- Power BI – Introduction & Features
- Types and Components of Power BI
- Installing Power BI on Windows
- System Requirements & Setup
Module 2: Power BI vs Other Tools
- Power BI vs Tableau vs Excel
- Power BI Free vs Pro vs Premium
Module 3: Connecting to Data
- Get Data from Excel
- Get Data from JSON
- Connect to SQL Server and Databases
- Get Data from Web and APIs
Module 4: Visualizations in Power BI
- Create a Gauge Chart
- Create a Column Chart
- Create a Card
- Format the Cards
- Update the Cards
- Create a Table
- Format the Table
- Apply Conditional Formatting to Table
Module 5: Filters and Slicers
- Create a Filter
- Create a Slicer
- Select Multiple Values from a Slicer
- Set a Chart with a Slicer
Module 6: Data Transformation (Power Query Editor)
- What is Data Transformation
- Group Rows
- Pivot Columns
- Create Custom Columns
Module 7: DAX (Data Analysis Expressions)
- Introduction to DAX
- Create Calculated Tables
- Create Calculated Columns
- Create Measures
Module 8: Reports and Dashboards
- What is a Report in Power BI
- Create and Publish a Report in Power BI Service
- Create a Dashboard from the Report
- Subscribe to the Report
Module 9: Python Integration in Power BI
- Use Python Scripts as Data Sources
- Perform Data Cleaning with Python in Power Query
- Create Python-based Visualizations