Understanding Structured Healthcare Datasets
Understand the structure of real-world healthcare datasets and how they are organized for analysis in pharmaceutical Python programming.
Lists, tuples, dictionaries, NumPy, and healthcare datasets, as per PCI BP101T syllabus Unit III.
Understand the structure of real-world healthcare datasets and how they are organized for analysis in pharmaceutical Python programming.
Learn to read and write CSV files in Python — essential for handling pharmacy datasets, prescription records, and lab results.
Understand Python lists, tuples, and dictionaries — core data structures for organizing drug names, dosages, and patient information.
Introduction to NumPy arrays and basic numerical operations, the foundation for fast, vectorized pharmaceutical calculations in Python.
Learn indexing, slicing, and manipulation techniques for lists, dictionaries, and strings to extract and transform pharmaceutical data efficiently.
Practice importing small pharmaceutical datasets and performing basic data access and manipulation tasks in Python.