About Course
Unlock the power of your data with our expert-led Power BI course. Learn to create interactive dashboards, generate insightful reports, and make data-driven decisions using real-world business scenarios. From data modeling to DAX functions, this course equips you with the tools to become a confident Power BI professional—no prior analytics experience needed.
Discover the potential of data-driven decision-making through KnowledgeEHub’s Power BI Business Analytics program, available across India. Designed for professionals and fresh graduates alike, this immersive course blends live virtual lectures, on-demand tutorials, and cloud-based lab exercises to teach you how to transform raw data into actionable insights. From metros like Delhi, Mumbai, and Bengaluru to emerging tech hubs in Pune, Hyderabad, and Kolkata, our nationwide delivery model ensures you get consistent, high-quality training—no matter where you are in India.
What Will You Learn?
- Learn to use Power Query for efficient ETL processes—combine, clean, and transform data from diverse sources like Excel, CSV, SQL Server, Azure, and more
- DAX & Advanced Calculations: Build dynamic measures, calculated columns, and time-intelligence functions for in-depth analysis
- Interactive Visualizations: Design compelling dashboards and reports using charts, maps, gauges, and custom visuals
- Power BI Service & Collaboration: Publish to Power BI Service, configure workspaces, row-level security, and share insights across teams
- Data Storytelling & Reporting: Craft narrative-driven reports, drill-through pages, and bookmarks to engage stakeholders
- Performance Optimization: Fine-tune data models, manage query folding, and implement incremental data refresh for large datasets
- Integrate Power BI seamlessly with Power Automate, Power Apps, and external APIs to deliver complete, automated business intelligence solutions.
Course Content
Below are the topics that will be covered during the course.
Module 1: Introduction to Power BI
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Introduction to Business Intelligence
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Self-Service Business Intelligence (SSBI)
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Introduction to Power BI
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Traditional BI vs. Power BI
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Power BI vs. Tableau vs QlikView
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Uses of Power BI
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The Flow of Work in Power BI
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Working with Power BI
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Basic Components of Power BI
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Comparison of Power BI Version
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Introduction to Building Blocks of Power BI
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Data model and importance of Data Modelling
Module 2: Power BI Desktop and Data Transformation
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Data Sources in Power BI Desktop
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Loading Data in Power BI Desktop
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Views in Power BI Desktop
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Query Editor in Power BI
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Transform, Clean, Shape, and Model Data
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Manage Data Relationship
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Editing a Relationship
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Cross Filter Direction
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Saving Work file
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Measures
Data Analysis Expression (DAX)
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Introduction to DAX
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Importance of DAX
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Data Types in DAX
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DAX Calculation Types
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Steps to Create Calculated Columns
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Measures in DAX
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DAX Syntax
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DAX Functions
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DAX Operators
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DAX Tables and Filtering
Module 4: Data Visualization
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Introduction to Visuals In Power BI
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Visualization Charts in Power BI
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Matrixes and Tables
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Slicers and Map Visualizations
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Gauges and Single Number Cards
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Modifying Colors in Charts And Visuals
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Shapes, Text Boxes, and Images
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Custom Visuals
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Page Layout and Formatting
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Bookmarks and Selection Panel
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KPI Visuals
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Z-order
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Grouping and Binning
Module 5: Power BI Service
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Introduction to Power BI Service
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Creating a Dashboard
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Quick Insights in Power BI
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Configuring a Dashboard
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Power BI Q&A
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Ask Questions about your Data
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Power BI Embedded
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Bookmarks and buttons
Module 6: Connectivity Modes
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Data Sources Supported in Power BI
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Exploring Live Connections to Data Sources
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Connecting Directly to SQL Azure
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Connecting Directly to SQL Server Analysis Services/My SQL
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Import Power View and Power Pivot
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Data Gateways
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Direct Query vs. Import Connectivity modes
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Connecting Power BI in Excel
Module 7: Power BI Report Server
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What is Power BI Report Server?
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Key Features of Report Server
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The architecture of the Report Server
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Limitations of Report Server
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Power BI Report Server vs.Power BI Service
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Acquiring and Installing Power BI Report Server
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What is a Web Portal?
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Paginated Reports
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Row Level Security
Module 8: R & Python in Power BI
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Brief concepts about R
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R Programming Concepts
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Create R Scripts for BI
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Python Programming
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Python Scripts in BI
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Python integration with Power BI
Module 9: Advanced Analytics in Power BI
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Use Parameters
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Create a data flow
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Introduction to Anomaly Detection
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Introduction to Smart Narrative
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Introduction to Sensitivity labels in Power BI
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Deployment Pipeline
Module 10: In-Class Project
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Power BI Service
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Row Level Security
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Visuals and Charts
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Power BI Desktop
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Handling Workspaces
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