Data analysis
Work with real datasets and translate research questions into sound analytical workflows.
APPLICATIONS · 12–27 OCTOBER 2026
Build practical skills in Data Science & AI.
A two-week, hands-on programme that connects statistical thinking and modern computational tools with agricultural experiments and real-world applications.
12–27October 2026
30Seats only
₹3,500plus GST
2 weeksHands-on learning
What you will learn
Modern tools
Use R, Python and relevant AI tools for analysis, visualization and interpretation.
Agricultural applications
Connect experiments and statistical methods with practical agricultural problems.
Expert mentorship
Learn from faculty and practitioners through guided exercises and mini-project work.
Completed project required
Each intern must develop and submit a completed project at the end of the programme. The final Data Science Challenge and Demo Day will showcase the completed work.
Programme team
Dr. Pratheesh P. Gopinath
Assistant Professor and Head
Dr. Manju Mary Paul
Assistant Professor
Dr. Adarsh V. S.
Assistant Professor
Dr. Chitra M. T.
Assistant Professor
Jithin Chandran
Information Security Officer
Mohammed Hisham M.
CTO · PhD in Agricultural Statistics
Lecture schedule
| Day | Activity | Resource person or team |
|---|---|---|
| 1 | The Data Science World | Dr. Manju Mary Paul |
| 2 | R for Data Science | Dr. Adarsh V. S. |
| 3 | Python for Data Science | Dr. Chitra M. T. |
| 4 | Working with Real-World Data | Jithin Chandran |
| 5 | Generative AI for Data Scientists | Mohammed Hisham M. |
| 6 | Experimental Design & Research Analytics | Dr. Pratheesh P. Gopinath |
| 7 | Machine Learning Fundamentals | Mr. Ranganath H. K. |
| 8 | Patterns in Complex Data | Jithin Chandran |
| 9 | Startup & Product Day | Statoberry LLP team |
| 10 | Data Science Challenge & Demo Day | Department internship programme team |
Final requirement: submission and presentation of a completed project. Data Science Challenge and Demo Day is conducted by the Department of Agricultural Statistics internship programme team.
Eligibility
Applications are open to students, graduates and early-career professionals from:
Agriculture and allied sciencesEngineering and technologyComputer science and ITStatistics and mathematicsData scienceBiotechnology and life sciencesEconomics and related fields
Application process
- Complete the registration formSubmit the requested participant, institution and contact information through the online form.
- Department reviewRegistrations are reviewed against eligibility and the available 30 seats.
- Department contactParticipants will be contacted after submitting the form with confirmation, payment and joining instructions.
Other details
A certificate of participation will be provided. Accommodation is available on request; participants meet the cost of accommodation and food. Participants will be contacted after completing the registration form.