Course Overview – Data Analytics & Visualization (Power BI)
The Data Analytics & Visualization (Power BI) course is a structured 6-week hands-on training program designed to help learners transform raw data into meaningful insights using Microsoft Power BI.
This course covers Power BI Desktop, Power Query (ETL), DAX fundamentals, dashboard creation, and Excel integration, enabling students and professionals to build interactive business intelligence reports and data-driven dashboards.
Ideal for beginners, data enthusiasts, MIS executives, and working professionals, this program builds practical skills required to analyze, visualize, and interpret business data effectively.
What Is This Course All About?
This course focuses on understanding data structures, cleaning and transforming datasets, building data models, and creating interactive dashboards using Power BI. You will learn how organizations use business intelligence tools to make strategic decisions.
You’ll learn to:
- Understand dataset structures and data relationships
- Clean and transform data using Power Query (ETL)
- Create interactive charts and dashboards
- Build measures and KPIs using DAX
- Develop business-ready reports for decision-making
"Data visualization turns complex datasets into clear business insights — Power BI makes it powerful and accessible."
Tools & Technologies Covered
| Technology |
Purpose |
| Power BI Desktop |
Report & dashboard creation |
| Power Query |
Data cleaning and transformation (ETL) |
| DAX |
Creating measures and calculated columns |
| Excel Integration |
Importing and analyzing datasets |
| Data Modeling |
Building relationships between tables |
Real-World Applications
- Sales and revenue dashboards
- Performance KPI tracking
- Financial reporting
- Business analytics dashboards
- Operational data monitoring
Outcome: By the end of this course, learners will confidently build interactive Power BI dashboards, create DAX measures, and transform business data into actionable insights.
Why Choose Data Analytics & Visualization (Power BI)?
Data-driven decision-making is at the core of modern businesses. Organizations across
finance, retail, healthcare, IT, and startups rely on Power BI to transform raw data into actionable insights.
This course equips you with practical skills in Power Query (ETL), DAX calculations, dashboard development, and KPI reporting, preparing you for real-world analytics and business intelligence roles.
Power BI professionals bridge the gap between data and business strategy — making them highly valuable across industries.
Career Map – Your Power BI Journey
Beginner Level
Basic Excel / Data Knowledge
Data Analytics & Visualization (Power BI)
Business Intelligence Analyst
Power BI is one of the most demanded business intelligence tools in India’s corporate ecosystem.
Placement Assistance & Career Support
- Resume building for Data & BI roles
- Business dashboard project portfolio guidance
- Mock interview preparation
- LinkedIn profile optimization
- Job referral assistance where applicable
India-Focused Salary Insights
| Experience Level |
Role Example |
Average Salary (INR) |
| Fresher (0–1 Year) |
Junior Data Analyst |
₹3 – 6 LPA |
| 1–3 Years |
Power BI Developer / BI Analyst |
₹6 – 12 LPA |
| 3–5 Years |
Senior BI Developer |
₹12 – 20 LPA |
| 5+ Years |
Analytics Lead / BI Manager |
₹20 – 35+ LPA |
Course Curriculum: Data Analytics & Visualization (Power BI)
This 6-week structured curriculum focuses on data fundamentals, ETL using Power Query, DAX calculations, dashboard creation, and real-world business reporting.
Week-Wise Curriculum Breakdown
Week 1 – Data Basics & Dataset Structure
| Topic |
Focus Area |
| Data Types |
Structured vs unstructured data |
| Dataset Understanding |
Rows, columns, relationships |
| Excel Review |
Basic data preparation |
| Data Modeling Concepts |
Primary & foreign keys |
Week 2 – Power BI Interface & Tools Introduction
| Feature |
Application |
| Power BI Desktop |
Interface overview |
| Data Import |
Connecting data sources |
| Data Modeling |
Creating relationships |
| Visualization Panel |
Charts & report building |
Week 3 – Data Cleaning & Power Query (ETL)
| Concept |
Application |
| Power Query Editor |
Transforming datasets |
| Cleaning Data |
Removing nulls & duplicates |
| Column Transformations |
Split, merge, format |
| ETL Basics |
Extract, Transform, Load process |
Week 4 – Creating Interactive Charts & Dashboards
| Visualization |
Purpose |
| Bar & Line Charts |
Trend analysis |
| Pie & Donut Charts |
Category distribution |
| Filters & Slicers |
Interactive reports |
| Dashboard Design |
Professional layout |
Week 5 – DAX Basics, Measures & KPIs
| Concept |
Application |
| DAX Functions |
Basic formulas |
| Calculated Columns |
Derived values |
| Measures |
Dynamic calculations |
| KPI Creation |
Business performance tracking |
Week 6 – Business Dashboard Project
| Project Stage |
Deliverable |
| Dataset Selection |
Business use case |
| Data Transformation |
Cleaned dataset |
| DAX Measures |
KPI calculations |
| Dashboard Creation |
Interactive report |
| Final Presentation |
Business insights summary |
Outcome: Learners will confidently build professional Power BI dashboards, create DAX measures, and present actionable business insights.