College Workshop

1. Introduction to Pharma Analytics

– Overview of how data analytics is transforming the pharmaceutical industry.
– Key applications: drug discovery, clinical trials, pharmacovigilance, market analysis, and supply chain optimization.

2. Tools & Technologies

– Hands-on sessions with tools like:
– *R/Python* (for statistical analysis, bioinformatics).
– *SQL* (for managing drug databases).
– *Tableau/Power BI* (for visualizing clinical trial data).
– *AI/ML basics* (predictive modeling for drug efficacy).

3. Case Studies & Real-World Applications

– Analyzing clinical trial datasets.
– Predicting drug side effects using machine learning.
– Optimizing drug manufacturing with data-driven approaches.

4. Industry Insights

– Guest lectures from pharma data scientists/analysts.
– Discussion on regulatory aspects (e.g., FDA compliance in data reporting).

5. Mini-Project/Hackathon

A hands-on challenge (e.g., cleaning real-world pharmacovigilance data, building a predictive model for drug response).

6. Career Guidance

– Roles in Pharma Analytics: Clinical Data Analyst, Bioinformatician, Pharmacometrician, etc.
– Skills needed and how to build a resume for this field.