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
Food Personalization through Data Analytics and AI is a comprehensive advanced-level program offered DSTC (DSTC) that provides in-depth training in Food Personalization through Data Analytics and AI. This program is designed to build a strong foundation in core concepts while advancing to industry-relevant techniques and applications. Through a carefully structured curriculum, participants will develop the skills needed to tackle real-world challenges in Data Science. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
Food Personalization through Data Analytics and AI is a comprehensive advanced-level program offered DSTC (DSTC) that provides in-depth training in Food Personalization through Data Analytics and AI. This program is designed to build a strong foundation in core concepts while advancing to industry-relevant techniques and applications. Through a carefully structured curriculum, participants will develop the skills needed to tackle real-world challenges in Data Science.
📋 Course Objectives
1. Gain working command of Data Analytics.
2. Translate biotechnology theory into practical, reproducible analysis.
3. Assemble a documented case study that evidences your applied capability.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in biotechnology
• R&D engineers and working professionals applying biotechnology in industry
• Academics and educators building research or teaching capacity in biotechnology
• Data and computational scientists moving into Data Analytics
🚀 Key Learning Outcomes
• Confidence to reason about Data Analytics in real projects.
• A demonstrable biotechnology project for your research or industry portfolio.
• 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
What Personalisation Can Rest On
• Dietary assessment methods and their substantial measurement error
• Nutrigenomics evidence and the gap between marketing and science
• Glycaemic response variability and what the published trials actually showed
Collecting Individual Dietary Data
• Food logging, image-based estimation and systematic under-reporting
• Continuous glucose monitoring and wearable-derived signals
• Microbiome profiling and the current limits of dietary inference from it
Predicting Individual Response
• Personalised response prediction and the strength of the evidence
• Recommendation systems constrained by nutritional adequacy
• Avoiding recommendations that are optimal numerically and harmful practically
Formulation and Supply
• Personalised product formulation and manufacturing constraints
• Supply chain and cost realities of individualised nutrition
• Labelling, claims regulation and permissible health claims
Evidence, Equity and Disordered Eating
• Evaluating commercial personalisation claims critically
• Risk of promoting disordered relationships with food
• Data protection for health and dietary data
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | Pandas |
| Covered Tool / Platform | NumPy |
| Covered Tool / Platform | Matplotlib |
| Covered Tool / Platform | Seaborn |
| Covered Tool / Platform | Tableau |
| Covered Tool / Platform | SQL |
Frequently Asked Questions
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