Our data science and machine learning internship covers the full path from data preparation to a working model.
What you’ll do: Guided, hands-on work in Python Data Science & ML, using Kerala-relevant datasets and scenarios wherever the track allows. Sessions are led by industry professionals with more than half a decade of experience.
Focus areas:
- Python for data science
- supervised and unsupervised learning
- model evaluation
- an end-to-end mini project
You finish with project work you can show in your portfolio or résumé.
Who this is for
- Students and fresh graduates who want practical, portfolio-ready work before the new year
- Learners with basic Python who want to enter data science and ML
- Returning TransEduversers and their friends: everyone is welcome. If you attended an earlier TransEduverse event, mention it at checkout.
Program at a glance
- Duration: 2 or 3 or 4 weeks
- Mode: Online, Hybrid or Offline
- Track: Python Data Science & ML [one track per registration]
- Certificate: From TransEduverse, for participants who meet the internship requirements
Fees
- 2 weeks – ₹2,857.13
- 3 weeks – ₹3,857.13
- 4 weeks – ₹4,285.70
Offline batches carry an additional 13% paid at time of class only.
How it works
1. Choose your duration: 2, 3 or 4 weeks.
2. Choose your mode: Online, Hybrid or Offline.
3. Complete checkout for Python Data Science & ML
4. Get your confirmation: we confirm your seat and share the schedule within 4 working days.
Certificate: Participants who meet the internship requirements receive a certificate from TransEduverse.
Batch and refund policy: If your batch does not reach minimum strength, we will move your registration to another batch or track, whichever suits you. If TransEduverse is unable to conduct the program, you receive a full refund, paid within 13 days from the scheduled program date.
Frequently asked questions
Can I join more than one track?
Each registration covers one track. To join another, register again for it.
Are all modes available for every track?
Online is available for all tracks. Offline and hybrid depend on your location and batch size.
I’m not sure which mode or duration to pick.
Message us on WhatsApp and our academic counsellors will help.
I attended a TransEduverse event earlier. Does that matter?
You’re always welcome back. Tell us the event, college or IEEE Student Branch at checkout.
Questions?
Message us on WhatsApp at +91 75111 33382 or write to mail@transeduverse.tech.
