
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 …
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.
About Course:
Discover the potential of data-driven decision-making through Upshik Academy’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.
Below are the topics that will be covered during the course.
1. Power BI Desktop
2. Architecture
3. Data Transformation
4. DAX
5. Power BI Service
6. Data Visualization
7. Power BI Report Servers
8. Using R & Python
9. Advanced Analytics
10. Mobile Apps
11. Power BI Reports
12. Connectivity Modes
13.Quick Insights
14. Q&A
15. Industry use cases
- 10 Sections
- 85 Lessons
- 45 Days
- Module 1: Introduction to Power BI12
- 1.1Introduction to Business Intelligence
- 1.2Self-Service Business Intelligence (SSBI)
- 1.3Introduction to Power BI
- 1.4Traditional BI vs. Power BI
- 1.5Power BI vs. Tableau vs. QlikView
- 1.6Uses of Power BI
- 1.7The Flow of Work in Power BI
- 1.8Working with Power BI
- 1.9Basic Components of Power BI
- 1.10Comparison of Power BI Version
- 1.11Introduction to Building Blocks of Power BI
- 1.12Data model and importance of Data Modelling
- Module 2: Power BI Desktop and Data Transformation10
- Module 3: Data Analysis Expression (DAX)10
- Module 4: Data Visualization13
- 4.1Introduction to Visuals In Power BI
- 4.2Visualization Charts in Power BI
- 4.3Matrixes and Tables
- 4.4Slicers and Map Visualizations
- 4.5Gauges and Single Number Cards
- 4.6Modifying Colors in Charts And Visuals
- 4.7Shapes, Text Boxes, and Images
- 4.8Custom Visuals
- 4.9Page Layout and Formatting
- 4.10Bookmarks and Selection Pane
- 4.11KPI Visuals
- 4.12Z-order
- 4.13Grouping and Binning
- Module 5: Power BI Service8
- Module 6: Connectivity Modes8
- 6.1Data Sources Supported in Power BI
- 6.2Exploring Live Connections to Data Sources
- 6.3Connecting Directly to SQL Azure
- 6.4Connecting Directly to SQL Server Analysis Services/My SQL
- 6.5Import Power View and Power
- 6.6Pivot Data Gateways
- 6.7Direct Query vs. Import Connectivity modes
- 6.8Connecting Power BI in Excel
- Module 7: Power BI Report Server8
- Module 8: R & Python in Power BI5
- Module 9: Advanced Analytics in Power BI6
- Module 10: In-Class Project5
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