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.
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
Python Fundamentals & Programming Concepts
Data types, variables, loops, control structures, and functional programming conventions.
Pharmaceutical Data Structures & File Handling
Working with text files, chemical structure file inputs (SMILES/SDF), and handling data formats.
Data Analysis using NumPy & Pandas
Handling large biological datasets, screening tables, filtering, and mathematical array manipulation.
Scientific Data Visualization
Creating publication-ready graphs, scatter plots, dose-response curves, and rendering molecular metrics with Matplotlib.
AI Applications in Pharmaceutical Research
An introduction to machine learning predictive models, drug repurposing pipelines, and AI in lead optimization.
Organizing Leadership & Experts
Need Assistance?
For billing queries, registration errors, or academic doubts, reach out to the organizing team: