Power BI Training Course
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Master Power BI and create active dashboards.
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Practical analytics with complex datasets.
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Beginner to pro: absolute mastery over data visualization.
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Expertise in modeling, DAX functions, and real-time reporting.
Gurgaon Leading Analytics Training Institute, delivering hands-on learning with real industry trainers and personalized mentoring.
Unlock Your Power BI Potential: Enroll Today!
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Why Should You Opt For This Program?
Why Choose This Power BI Course?
This Power BI course thoroughly trains you in handling, analyzing, and visualizing data. It is designed for both beginners and upskilling professionals, taking you from the basics to advanced DAX functions for delivering insights in a powerful visual form.
Key Features
Beginner and Advanced Levels
Coursework suitable for both beginner and advanced learners.
Hands-on Sessions
Practical sessions using real datasets.
DAX, Power Query, Data Modeling
Comprehensive coverage of DAX, Power Query, and Data Modeling.
Industrial-Level Dashboards
Assignments focused on creating industry-level dashboards.
Live Project
Live project with performance review.
Flexible Formats
Available in online, offline, and hybrid formats.
The Advantage of the Certification Program
Power BI Certification from Gyansetu
- Adds credibility to your LinkedIn and job applications.
- Performance report and project completion tag.
- Shareable badge for LinkedIn and resume.
Advance with Real-Time Training
- Domain dashboards: Sales, HR, Finance.
- Real assignments, real data, real-time feedback.
- Capstone project and dashboard presentation.
Online Power BI Course
Take live classes with qualified instructors from your home. Classes are recorded and shared with downloadable files, datasets, and template projects. Get online personal mentoring and do capstone projects from anywhere.
The Reason Why You Should Become a Power BI Expert
Becoming a Power BI expert has many advantages in today's market.
- Most in-demand tool in business analytics
- Used across finance, marketing, HR, sales, logistics, and retail
- High-paying job roles with MNCs and startups
- Integrates with Excel, SQL, and other tools
- No coding required
What Will You Learn in This Power BI Course?
This program will teach you essential skills in Power BI.
- Data loading and transformation with Power Query
- Data modeling using relationships and measures
- Creating calculated columns and DAX functions
- Designing responsive and dynamic dashboards
- Publishing and sharing reports across platforms
- Power BI Service: Gateway, Workspace, Sharing
What Are the Job Roles After This Course?
Power BI Developer
Develop business intelligence solutions using Power BI [Power BI Job Description: Land Your Dream Job in 2025](https://www.simplilearn.com/power-bi-job-description-article).
Business Intelligence Analyst
Analyze data and create business strategies [Power BI Career Opportunities and Job roles](https://www.sprintzeal.com/blog/power-bi-career-opportunities).
Data Visualization Engineer
Create visual representations of data [Building a Career with Power BI in 2025: Skills, Jobs, and ...](https://www.datacamp.com/blog/top-power-bi-jobs-in-2022).
MIS Executive (Power BI)
Manage and analyze management information systems.
Reporting Analyst
Create and distribute reports.
BI Consultant
Provide expert advice on business intelligence solutions [Building a Career with Power BI in 2025: Skills, Jobs, and ...](https://www.datacamp.com/blog/top-power-bi-jobs-in-2022).
Dashboard Developer
Design and develop interactive dashboards.
Data Analyst with BI Skills
Analyze data using business intelligence tools [Building a Career with Power BI in 2025: Skills, Jobs, and ...](https://www.datacamp.com/blog/top-power-bi-jobs-in-2022).
Full Learning Path with Curriculum
- Introduction to Business Intelligence concepts
- Role of BI in modern enterprises
- Power BI ecosystem overview (Desktop, Service, Mobile)
- Installation & setup of Power BI Desktop
- Understanding data sources and data flow
- Importing data from various sources (Excel, CSV, SQL, Web, SharePoint)
- Connecting to cloud sources like Azure, OneDrive, Google Drive
- Real-world data ingestion workflows
- Manual vs. scheduled data refresh techniques
- Introduction to Power Query Editor
- Data profiling, filtering, sorting, and shaping
- Handling null values, errors, and changing data types
- Merge, append, and custom column operations.
- Query optimization best practices
- Understanding star schema and snowflake models
- Creating relationships, cardinality, and cross-filter direction
- Calculated columns and measures
- Hierarchies and data granularity
- Performance tuning in large models
- Basics of DAX syntax and functions
- Time intelligence functions (YTD, MTD, QTD)
- Filter functions, logical and conditional statements
- Contexts: row context, filter context, evaluation context
- Advanced measures and KPI logic
- Visual elements: charts, slicers, maps, KPIs, matrices
- Choosing the right visual for data insights
- Custom visuals and marketplace integration
- Bookmarking, drill-through, and storytelling
- UI/UX best practices for interactive dashboards
- Using Excel workbooks as data sources
- Creating dashboards in Excel vs. Power BI
- PivotTables and Power Pivot modeling
- Power BI add-ins for Excel
- Real-world use cases using Excel + BI combo
- What-if analysis and scenario simulations
- Clustering and forecasting techniques
- Quick insights and Q&A visuals
- Using Python/R scripts for custom visuals
- Anomaly detection with AI visuals
- Publishing reports to Power BI Service
- Workspace management, user access roles
- Gateway installation and configuration
- Scheduled refresh, alerts, subscriptions
- Embedding reports in web apps or SharePoint
- Project 1: Sales Dashboard for FMCG Client
- Project 2: HR Analytics and Attrition Model
- Project 3: Marketing Campaign ROI Tracker
- Resume optimization for Data Analyst roles
- Mock interviews, GitHub portfolio creation, LinkedIn branding
Comparison
| Feature | Digi Edu Learning  |
Other Institutes  |
|---|---|---|
| Real-Time Dashboard Building |  Work on actual business data |
✘ Practice on dummy or outdated sets |
| End-to-End Data Projects | From data cleaning to storytelling |
✘ Only dashboard creation was taught |
| Excel + Power BI + SQL Integration | Integrated approach for analysts |
✘ Teach tools in isolation |
| Mentorship by Industry Experts | Personal guidance and code reviews |
✘ No expert-led feedback |
| Interview Prep + Resume Optimization | Complete career prep included |
✘ No placement support |
| Internship Opportunities with STS | Real-time project-based internship |
✘ No hands-on experience |
