This course is designed for B.Pharm students who want to understand Python from the ground up without assuming prior programming experience. You will start with the fundamentals of Python, including variables, data types, operators, input/output, strings, conditional statements, loops, functions, and libraries. The course then progresses into Python data structures, NumPy, CSV file handling, and data manipulation using Pandas.
The course also introduces data visualization using Matplotlib, where you will learn how to create and understand line charts, histograms, scatter plots, box plots, and other visualizations using pharmacy-related datasets. Throughout the course, concepts are connected to pharmaceutical examples and practical applications. You will work with datasets and practical exercises involving areas such as medicine inventory, healthcare data, adverse drug reaction (ADR) analysis, pharmacokinetic data, drug concentration-time curves, and dissolution profiles.
What you will learn:
- Python programming fundamentals from beginner level
- Control structures and functions
- Lists, tuples and dictionaries
- NumPy arrays and operations
- Reading and writing CSV and Excel data
- Data cleaning and handling missing values
- Data analysis using Pandas
- Data visualization using Matplotlib
