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