- Basic Python knowledge is recommended but not mandatory.
- Introduces Python basics, data types, functions, and file handling.
- Gradually progresses to libraries like NumPy, Pandas, Matplotlib, and Seaborn.
- Hands-on exercises help beginners gain confidence in Python for data tasks.
- Suitable for learners from non-technical backgrounds with interest in data science.
