I analyzed a student dataset using Python and the Pandas library. I started by loading the dataset and performing data cleaning, such as removing unnecessary columns and handling missing values. Then I explored the data and analyzed factors like gender, parental education, number of siblings, weekly study hours, and sports practice. The goal was to better understand the factors that may affect student performance and identify patterns within the data.