Data science relies on a diverse toolkit to address various stages of the data lifecycle. Key tools include programming languages like Python and R, data visualization tools like Tableau and Power BI, machine learning libraries like Scikit-learn and TensorFlow, and big data technologies such as Hadoop and Spark.
