Data science relies on a diverse toolkit for data handling, analysis, and visualization. Popular tools include programming languages like Python and R, data manipulation libraries like Pandas, data visualization tools like Tableau and Power BI, and machine learning frameworks like TensorFlow and Scikit-learn.