This course provides a comprehensive introduction to data analysis using Python, covering essential libraries such as NumPy, Pandas, Matplotlib, and Seaborn. Participants will learn how to manipulate data, perform exploratory analysis, and visualize findings. The course combines theoretical knowledge with practical labs, enabling participants to work on real-world datasets and apply techniques such as data cleaning, time-series analysis, and creating various types of plots.