Course Overview – Data Analytics & Business Intelligence (6 Months)
The Data Analytics & Business Intelligence program is a comprehensive 6-month industry-oriented training course designed to build strong data analysis, SQL, and business intelligence expertise.
This program covers Advanced Excel, SQL for data extraction, Power BI, Power Query, DAX calculations, dashboard development, and business analytics storytelling, enabling learners to transform raw data into actionable insights for decision-making.
Ideal for students, working professionals, MIS executives, and aspiring BI analysts, this program bridges the gap between data handling and executive-level business reporting.
What Is This Program All About?
This program focuses on mastering data extraction, transformation, modeling, visualization, and analytics interpretation. Learners gain hands-on experience with real business datasets and develop interactive dashboards aligned with management-level reporting standards.
You’ll learn to:
- Master Excel for structured data handling and reporting
- Write and optimize complex SQL queries
- Build advanced interactive dashboards in Power BI
- Create DAX measures and KPIs for business tracking
- Automate reporting cycles using Power Query
- Perform predictive and trend-based analytics
- Present executive-level BI reports
"Business Intelligence professionals convert raw numbers into strategic decisions."
Tools & Technologies Covered
| Technology |
Purpose |
| Advanced Excel |
Data preparation & analysis |
| SQL |
Data extraction & query optimization |
| Power BI |
Dashboard & visualization development |
| Power Query |
Data transformation & automation |
| DAX |
KPI calculations & performance metrics |
Career Outcomes
- Business Intelligence Analyst
- Data Visualization Specialist
- Power BI Developer
- Operations Data Manager
Outcome: By the end of this 6-month program, learners will confidently extract, model, analyze, and present business data using professional BI tools.
Why Choose Data Analytics & Business Intelligence?
Data is the backbone of modern decision-making. Organizations across finance, retail, healthcare, consulting, and IT depend on business intelligence professionals to interpret data and drive growth strategies.
This 6-month industry-focused program prepares you to handle real business datasets, build executive dashboards, and automate reporting cycles using SQL and Power BI.
Placement Assistance & Career Support
- Industry-ready resume building
- Capstone dashboard portfolio guidance
- Mock BI & SQL interviews
- Real business case-study preparation
- Job referral assistance where applicable
India-Focused Salary Insights
| Experience Level |
Role Example |
Average Salary (INR) |
| Fresher (0–1 Year) |
Junior BI Analyst |
₹4 – 7 LPA |
| 1–3 Years |
Power BI / Data Analyst |
₹7 – 14 LPA |
| 3–5 Years |
Senior BI Developer |
₹14 – 22 LPA |
| 5+ Years |
Analytics Manager / BI Lead |
₹22 – 40+ LPA |
Course Curriculum: Data Analytics & Business Intelligence (6 Months)
Month 1 – Excel & Data Foundations
- Excel for structured data handling
- Data quality concepts
- Understanding business datasets
- Data cleaning fundamentals
Month 2 – SQL & Data Preparation
- Joins, filters, grouping
- Query optimization
- Complex SQL query writing
- Preparing datasets for BI tools
Month 3 – Power BI Basics
- Power BI interface & data loading
- Data modeling & relationships
- AI-assisted report planning
Month 4 – Advanced DAX & Dashboard Design
- DAX measures & calculated columns
- KPI creation & business logic
- Interactive dashboard design
- Complex DAX generation & KPI explanation
Month 5 – Analytics Insights & Storytelling
- Business metrics interpretation
- Trend analysis & predictive insights
- Data storytelling techniques
- AI-based automated summaries
Month 6 – Capstone Project
- Working with real business dataset
- Dashboard development & automation
- Automated report drafting
- Presentation to management
Outcome: Learners will master SQL extraction, advanced Power BI dashboards, DAX KPI logic, and executive-level business reporting.