Data Analytics & Visualization (Power BI) | BI
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
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
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.
Career Map – Your Power BI Journey
Beginner Level
Basic Excel / Data Knowledge
Data Analytics & Visualization (Power BI)
Data Analyst
Business Intelligence Analyst
MIS Executive
Reporting Analyst
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 |
Frequently Asked Questions
This course is ideal for students, MIS executives, working professionals, and aspiring data analysts who want to build strong business intelligence and reporting skills using Power BI.
No prior Power BI experience is required. Basic knowledge of Excel or data concepts is helpful, but the course starts from fundamentals and progresses step-by-step.
You will learn Power BI Desktop, Power Query (ETL), DAX formulas, data modeling, dashboard creation, KPI tracking, and Excel integration for business reporting.
Yes. The course includes hands-on dashboard development and concludes with a Business Dashboard Project that can be added to your professional portfolio.
Yes. The course includes resume building guidance, dashboard portfolio support, mock interview preparation, and job referral assistance where applicable.
After completing this course, you can apply for roles such as Junior Data Analyst, Power BI Developer, Business Intelligence Analyst, MIS Executive, or Reporting Analyst.
Freshers in data analytics and Power BI roles in India typically earn between ₹3 LPA to ₹6 LPA depending on location, company type, and skill proficiency.
With 1–3 years of experience, BI professionals generally earn ₹6–12 LPA. Mid-level BI Developers (3–5 years) can earn ₹12–20 LPA, while senior BI managers or analytics leads (5+ years) may earn ₹20–35+ LPA.
Yes. Power BI is widely used across finance, retail, healthcare, IT services, and startups in India. The demand for professionals who can build dashboards and generate insights continues to grow.
Yes. By learning ETL processes, DAX calculations, and dashboard development, this course builds the foundational skills required to transition into entry-level data analytics and BI roles.
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