Advanced Program in Applied Business Intelligence and Analytics
This Advanced Program is designed to create job-ready professionals in business intelligence and analytics by covering the entire data pipeline from database design and data engineering to BI solution development, visualization, and project deployment. With real-client projects, international exposure, and research work, learners gain full-time employment from the 6th month.
- Duration: 9 months
- Eligibility: Any Graduate/Post Graduate
- Career Path: Data Science and Analytics
- Mode: Offline + Online
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Programme Overview
This Advanced Program is designed to create job-ready professionals in business intelligence and analytics by covering the entire data pipeline from database design and data engineering to BI solution development, visualization, and project deployment. With real-client projects, international exposure, and research work, learners gain the skills and job assurance to thrive in global analytics roles. Full-time employment starts from the 6th month with patentable project exposure.
Programme Modules
Module 0: Introduction to the World of RDBMS
- What is DBMS and RDBMS
- DBMS vs RDBMS Comparison
Module 1: RDBMS Foundations
- Codd's 12 Rules for RDBMS
- Entity Relationship Modeling
- Primary, Foreign, and Composite Keys
- Normalization (1NF to 4NF)
- Views & Materialized Views in RDBMS
- Advanced Core RDBMS Concepts
- Project: OLTP System Design for Real-time Applications
Module 2: Welcome to Business Intelligence
- Introduction to BI Ecosystem
- Basic Statistics in Business Analytics
- Importance of Data-Driven Decision Making
- BI Architecture & Solution Frameworks
- Project: Business Intelligence System Architecture for Clients
Module 3: Significance of Data Modeling
- Introduction to Data Modeling Concepts
- Logical & Physical Data Modeling for BI
- Star & Snowflake Schema Design
- BI Data Storage & Structured Systems for AI
- Domain-Specific Data Warehousing for Analytics
- Project: Data Warehouse Design Using Star & Snowflake Schema
Module 4: The Data Ecosystem
- Organizational Data Ecosystems (Domain-specific)
- ETL (Extract, Transform, Load) Tools and Practices
- Introduction to Big Data, AI, and Data Engineering
- Data Engineering (AWS, Azure)
- Project: Complete ETL Implementation with Cloud Environments
Module 5: BI Analytics Landscape
- BI Project Lifecycle and Methodology
- Analytics-Driven Business Decision Making
- Capstone Project: Unified BI & Analytics Deployment for a Client
Module 6: Mining & Communicating Results
- Data Visualization Principles
- Reporting Tools & Dashboard Design
- Project: Data Storytelling for Non-Technical Audiences
Module 7: Start Your Final International Project
- Work on Real-time International Projects (Remote)
- Internship: Real-time Global Hands-on (USA, UK, Europe)
- Presentations: Final Preparation Before Client Transition
Key Takeaways
Develop real-time dashboards and executive reports
Get job-ready with global project exposure
- Design high-performance relational databases for analytics
- Build scalable BI & Data Engineering solutions with AWS/Azure
- Model data for advanced forecasting and visualization
- Develop real-time dashboards and executive reports
- Gain real-world experience through international client projects
- Get job-ready with global project exposure
Real Voices, Real Outcomes
Learner Testimonials
"The work-integrated model meant I was on client projects from day one. I now work full-time in the BI team. No placement stress—just growth and real responsibility."
BI Analyst
Data & Analytics
"This programme covered the full pipeline from RDBMS to visualization. The international project exposure and the job from the 6th month made it the best decision I made."
Data Engineer
Global Projects
"I came for the job assurance and stayed for the quality. The capstone and ETL projects were directly applicable. I'm now building dashboards for real clients."
Reporting Executive
BI & Analytics