This course provides a comprehensive introduction to data analysis using Python, covering essential libraries like 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 students to work on real-world datasets and apply techniques like data cleaning, time-series analysis, and creating various types of plots.