This Python Programming course is designed for beginners and intermediate learners aiming to master
Python for various domains like data science, web development, and automation. The course covers Python
syntax, control structures, functions, file operations, object-oriented programming, and popular libraries
such as NumPy, Pandas, and Matplotlib. Students learn how to write clean, efficient code and implement logic
for real-world tasks. In addition, the course explores data handling, API usage, basic automation, and error
handling in Python, enabling learners to solve practical problems confidently. Project-based learning
reinforces skills in data parsing, reporting, scripting, and back-end development. Whether you're preparing
for Python-based job roles or using it as a stepping stone for data science, this course ensures a solid
programming foundation.