Registrations open

PyBio-10

Python for Life Sciences

A 10-day live, hands-on training programme. Learn to clean, analyse, visualise and model your own biological data in Python, taught by Dr. Avinash Gopa and team. No prior programming experience needed.

Dates: 16 – 26 Nov 2026Sunday 22 Nov holiday
Timing: 6:30 – 8:30 PMIST, every session
Mode: Online, liveHands-on in Colab
Fee: ₹1,499 / ₹1,999Students / Professionals, incl. GST

PyBio-10 flyer: Python for Life Sciences, 16 to 26 November 2026

Open the flyer (PDF)

Programme schedule

10 days. 10 skills.

Every session runs 6:30 to 8:30 PM IST. You write and run the code yourself, on biological datasets.

D01

Inauguration · Python foundationsJupyter, Google Colab, core syntax, data typesDr. Avinash Gopa & Mr. Chandan G Y

Mon 16 Nov

D02

Thinking in codeLists and dictionaries, loops, conditions, functionsMr. Rajesh A

Tue 17 Nov

D03

NumPy for scienceArrays and fast numerical computingMr. Rajesh A

Wed 18 Nov

D04

Pandas for lab dataImport, clean, merge and reshape datasetsMr. Chandan G Y

Thu 19 Nov

D05

Publication-ready plotsMatplotlib and SeabornMr. Chandan G Y

Fri 20 Nov

D06

Biostatistics in Pythont-tests, ANOVA, regression with SciPyDr. Avinash Gopa

Sat 21 Nov

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HOLIDAY

Sun 22 Nov

D07

Biopython essentialsSequences, FASTA, GenBank, BLASTDr. Avinash Gopa

Mon 23 Nov

D08

Omics data handlingGene expression and NGS file formatsDr. Avinash Gopa

Tue 24 Nov

D09

Machine learning for biologyClassification and clustering with scikit-learnDr. Avinash Gopa

Wed 25 Nov

D10

Capstone and certificationSolve a real research problem end to endDr. Avinash Gopa

Thu 26 Nov

Full day-by-day curriculum (brochure PDF)

Coordinator and resource persons

Learn from practitioners.

Programme coordinator · Days 1, 6–10

Dr. Avinash Gopa

Founder & CEO, Avyagraha Research & Analytics LLP. Ex-ICMR Project Scientist-II (ICMR-NIOH, Ahmedabad). Ph.D. (Agricultural Statistics), IARI, New Delhi.

Resource person · Days 2–3

Mr. Rajesh A

CEO & Tech Member, Avinya Techsphere, Bangalore.

Resource person · Days 1, 4–5

Mr. Chandan G Y

Data Analyst, Bangalore.

Who should join and what you get

Built for life scientists, not programmers.

UG, PG and PhD students; faculty, scientists and research associates; and pharma, agri-biotech and healthcare professionals across Biotechnology, Microbiology, Biochemistry, Genetics, Agriculture, Pharmacy and Medical Sciences.

.py

Code notebooksEvery day's notebook, ready to reuse on your own research data.

3-month recordingsRevisit any session at your own pace.

Capstone projectsEnd-to-end analyses you can show on your CV.

E-certificateIssued on completion of the programme.

DNA

Real biological datasetsSequence, expression, lab and field data.

Q&A

Live doubt clearingDirect interaction with the trainers every session.

Fees and registration

Reserve your seat.

Seats are limited. All fees are inclusive of GST.

StudentsUG / PG / PhD students and research scholars

₹1,499

ProfessionalsFaculty, scientists, industry and all others

₹1,999

Payment is by UPI to Avyagraha Research and Analytics LLP (UPI ID 9480363456@okbizaxis).

How to register

Open the registration page and fill in your details.
Choose your category and tap Pay now. Your UPI app (Google Pay, PhonePe, Paytm, BHIM) opens with the amount filled in. On a computer, scan the QR with your phone.
Enter the UPI transaction ID, upload the payment screenshot and submit. You get a registration ID and a confirmation email.

Questions

Good to know

Do I need any programming background?

No. The programme starts from the very basics and everything runs in the browser through Google Colab.

What do I need to attend?

A laptop or desktop with a stable internet connection, and a Google account for Colab notebooks.

What if I miss a session?

All sessions are recorded. Recordings stay available for 3 months after the programme.

Which fee applies to me?

The student fee (₹1,499) applies to UG, PG and PhD students and research scholars. Faculty, scientists, industry and all other participants pay the professional fee (₹1,999). Both include GST.

Which UPI apps can I pay with?

Any UPI app: Google Pay, PhonePe, Paytm, BHIM or your bank's app. On a phone, the Pay now button opens the app directly; on a computer, scan the QR code with your phone. You can also pay to UPI ID 9480363456@okbizaxis.

When will I get the joining link?

Once your payment is verified, joining details are shared by email and WhatsApp before the programme begins on 16 November 2026.