Phase 1: Basic Python for Clinical Students

Fundamental AI for clinical students from scratch. From basic to advance Python .
Basic Python for Clinical Students. Getting Started with Python Programming for Clinical Applications

1. Phase 1: Basic Python for Clinical Students Getting Started with Python Programming for Clinical Applications

2. Objectives - Understand the basics of Python programming - Learn how to handle clinical data (CSV, Excel) - Write simple functions for clinical calculations - Use Jupyter Notebook / Google Colab effectively

3. Topics - Python basics: variables, data types, operators - Control flow: if-else, loops - Functions & modules - Working with files (CSV, Excel, JSON) - Jupyter Notebook / Google Colab

4. Practical Examples - Load a clinical dataset in CSV format - Write a simple function to calculate BMI - Explore patient demographics data with Python - Generate a summary table for lab results

5. Suggested Tools - Jupyter Notebook / Google Colab - Python (Anaconda distribution) - pandas, numpy for data handling - matplotlib, seaborn for visualization