The objective of this lab is to provide students with a strong foundational understanding of Data Science concepts and techniques. The lab covers numerical computing, data manipulation, data visualization, exploratory data analysis, data preprocessing, supervised and unsupervised machine learning algorithms, model evaluation, validation techniques, and ethical aspects of data science. This lab enables students to gain practical exposure to real-world datasets and develop the ability to analyze data, build predictive models, and interpret results effectively.