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Registration Deadline Extended! Due to massive demand, registrations are now open until Today, 7:00 PM.
5-Day National e-Faculty Development Program (eFDP)

Python Programming for
Pharmaceutical Sciences

From Fundamentals to Data Analytics

REGISTRATION CLOSES IN
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Dates July 27 – 31, 2026
Timings 07:00 PM – 08:30 PM IST
Registration Fee ₹500/- (Incl. GST)
Technical & Operations Partner

About the eFDP

The 5-Day e-Faculty Development Program (eFDP) is tailored to equip educators, researchers, and postgraduate students in pharmaceutical sciences with practical coding and data analytics skills. Moving from basic programming structures to AI applications, this course is designed specifically to meet the demands of modern computational chemistry and AI-driven drug discovery.

Aligned with the New PCI B.Pharm Curriculum (2026-27) and NEP 2020 specifications.

FDP Highlights

  • Live Hands-on Coding Sessions
  • No Prior Coding Background Needed
  • Pharmacy-Specific Case Studies
  • Recorded Lecture Access & E-Study Materials
  • Interactive Daily Q&A Sessions
  • Verified Certificates for All Attendees

Key Program Modules

01

Python Fundamentals & Programming Concepts

A gentle introduction to Python and IDE setup, covering variables, loops, and conditions. Write your first modular programs for everyday tasks like dosage and BMI calculations.

02

Pharmaceutical Data Structures & File Handling

Learn to organize and manage healthcare data. We will cover lists, dictionaries, and how to read and write CSV files using simple structured pharmaceutical datasets.

03

Data Analysis using NumPy & Pandas

Step-by-step guidance on exploring and cleaning real-world datasets, such as Pharmacokinetic (PK) studies and Adverse Drug Reaction (ADR) reports, without needing advanced coding skills.

04

Scientific Data Visualization with Matplotlib

Create publication-ready graphs. Learn to visually interpret pharmaceutical data, including concentration-time curves and dissolution profiles, using intuitive plotting tools.

05

AI Applications in Pharmaceutical Research

A beginner-friendly overview of how predictive models and machine learning are transforming drug repurposing and lead optimization in modern pharmacy research.

Organizing Leadership & Experts

Advisory Committee
Dr. Kuldeep Kumar Raina
Dr. Kuldeep Kumar Raina Hon'ble Vice Chancellor MSRUAS
Dr. G. S. Venkatesh
Dr. G. S. Venkatesh Provost Health & Allied Sciences, MSRUAS
Shri. S. Ashok Rao
Shri. S. Ashok Rao Registrar MSRUAS
Organizing Leadership
Dr. S. Bharath
Dr. S. Bharath Convener Dean, FPH, MSRUAS
Dr. Judy Jays
Dr. Judy Jays Co-Convener Academic Coordinator, FPH, MSRUAS
Dr. Parasuraman P
Dr. Parasuraman P Organizing Secretary Associate Professor, Dept. of Pharmaceutical Chemistry, FPH, MSRUAS
Resource Person / Expert
Mr. Palaniraj I
Mr. Palaniraj I Resource Person Senior AI Engineer, Thathwamasi Global Solutions
TECHNOLOGY & OPERATIONS PARTNER

BestWay Solution

BestWay Solution powers the digital infrastructure, custom cloud integrations, database logs, and payment services for this program.

₹500.00 INR Registration Fee (GST Incl.)
Base Program Fee: ₹423.73
CGST + SGST (18%): ₹76.27

Total Payable: ₹500.00

By proceeding to pay, you agree to our Terms & Refund Policy.

Payments are securely processed via Razorpay. Registrations close on 26 July 2026, 7:00 PM.

Need Assistance?

For billing queries, registration errors, or academic doubts, reach out to the organizing team:

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