Programme Parameters
Advanced Postgrad
4 Weeks (40 Hrs)
Online (e-LMS)
• Prior working knowledge of the field and comfort with core tools and quantitative reasoning.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
The Business Intelligence Basics course is a free, beginner-friendly self-paced program designed to help learners understand how organizations use data to support business decisions and improve performance. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
The Business Intelligence Basics course is a free, beginner-friendly self-paced program designed to help learners understand how organizations use data to support business decisions and improve performance.
📋 Course Objectives
1. Put Artificial Intelligence techniques to work on real datasets and case studies.
2. Produce a reproducible, portfolio-ready project you can cite in a thesis, paper, or job application.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in Artificial Intelligence
• R&D engineers and working professionals applying Artificial Intelligence in industry
• Academics and educators building research or teaching capacity in Artificial Intelligence
🚀 Key Learning Outcomes
• A portfolio-grade Artificial Intelligence deliverable you can defend and extend.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Introduction to Business Intelligence
What is Business Intelligence? • Importance of Data in Business Decisions • Business Intelligence vs Data Analytics • Applications of BI in Organizations
Understanding Business Data
Types of Business Data • Sales, Financial, Customer, and Operational Data • Introduction to Data Collection and Reporting • Importance of Data Quality
BI Tools and Visualization Basics
Introduction to Dashboards and Reports • Charts, Graphs, and KPI Concepts • Understanding Business Metrics • Presenting Insights Clearly
Business Intelligence Applications
Performance Monitoring and Reporting • Customer and Market Analysis • Supporting Strategic Decision-Making • BI in Finance, Marketing, and Operations
Future Scope and Next Steps
Role of AI in Business Intelligence • Career Opportunities in BI and Analytics • Introduction to Advanced Analytics and Reporting • Mini Learning Activity / Concept-Based Practice
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Business Intelligence |
| Covered Tool / Platform | Dashboards |
| Covered Tool / Platform | Data Visualization |
| Covered Tool / Platform | Business Reporting |
| Covered Tool / Platform | Performance Metrics |
Frequently Asked Questions
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