Programme Parameters
Graduate / Intermediate
4 Weeks (40 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
AI and Big Data in Business Economics shows how large-scale data and machine learning are changing economic analysis inside firms. You learn to apply these tools to core business-economics problems: modelling demand and setting prices, analysing markets and consumer behaviour, and forecasting economic conditions that affect strategy. The course balances the analytical methods with economic reasoning — so models inform sound decisions rather than replace judgement — and covers the data infrastructure that makes big-data economics possible. You finish able to apply AI and big data to a real business-economics question. A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This course applies AI and big data to business economics — demand and pricing analytics, market and consumer modelling, and data-driven economic decision-making.
📋 Course Objectives
1. Apply big data to demand and pricing analytics.
2. Model markets and consumer behaviour.
3. Forecast economic conditions affecting strategy.
4. Combine machine learning with economic reasoning.
5. Work with big-data infrastructure for analysis.
👥 Who Should Enroll?
• Business economists and analysts
• Data scientists in commercial settings
• Strategy and pricing professionals
• Students of economics and analytics
🚀 Key Learning Outcomes
• The ability to apply AI to business economics.
• A demand or market-analytics project.
• Data-driven economic decision skills.
• 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
Foundations of Ai And Big Data In Business Economics and Core Biological Principles
Implement Artificial Intelligence with Big for practical foundations of ai and big data in business economics and core biological principles applications and outcomes. • Design Business with Data for practical foundations of ai and big data in business economics and core biological principles applications and outcomes. • Analyze DNA sequencing with genomic analysis for practical foundations of ai and big data in business economics and core biological principles applications and outcomes.
Laboratory Techniques, Protocols, and Data Collection
Implement Artificial Intelligence with Big for practical laboratory techniques, protocols, and data collection applications and outcomes. • Design Business with Data for practical laboratory techniques, protocols, and data collection applications and outcomes. • Analyze DNA sequencing with genomic analysis for practical laboratory techniques, protocols, and data collection applications and outcomes.
Bioinformatics Tools and Computational Analysis
Implement Artificial Intelligence with Big for practical bioinformatics tools and computational analysis applications and outcomes. • Design Business with Data for practical bioinformatics tools and computational analysis applications and outcomes. Gain hands-on experience and produce real-world projects. • Analyze DNA sequencing with genomic analysis for practical bioinformatics tools and computational analysis applications and outcomes.
Research Methodology and Experimental Design
Implement Artificial Intelligence with Big for practical research methodology and experimental design applications and outcomes. • Design Business with Data for practical research methodology and experimental design applications and outcomes. Gain hands-on experience and produce real-world projects. • Analyze DNA sequencing with genomic analysis for practical research methodology and experimental design applications and outcomes.
Advanced Ai And Big Data In Business Economics Applications and Translational Research
Implement Artificial Intelligence with Big for practical advanced ai and big data in business economics applications and translational research applications and outcomes. • Design Business with Data for practical advanced ai and big data in business economics applications and translational research applications and outcomes. • Analyze DNA sequencing with genomic analysis for practical advanced ai and big data in business economics applications and translational research applications and outcomes.
Regulatory Compliance, Bioethics, and Safety Standards
Implement Artificial Intelligence with Big for practical regulatory compliance, bioethics, and safety standards applications and outcomes. • Design Business with Data for practical regulatory compliance, bioethics, and safety standards applications and outcomes. • Analyze DNA sequencing with genomic analysis for practical regulatory compliance, bioethics, and safety standards applications and outcomes.
Industry Applications, Career Pathways, and Case Studies
Implement Artificial Intelligence with Big for practical industry applications, career pathways, and case studies applications and outcomes. • Design Business with Data for practical industry applications, career pathways, and case studies applications and outcomes. • Analyze DNA sequencing with genomic analysis for practical industry applications, career pathways, and case studies applications and outcomes.
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | Jupyter Notebook |
| Covered Tool / Platform | Google Colab |
| Covered Tool / Platform | Microsoft Excel |
| Covered Tool / Platform | Relevant Online Databases |
Frequently Asked Questions
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