Data scientists use a variety of tools depending on the task at hand, including data processing, analysis, visualization, and machine learning. Here’s a breakdown of some commonly used tools:

1. Programming Languages

Python: The most popular language for data science, with libraries like Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch.

R: Often used for statistical analysis and visualization, with packages like ggplot2, dplyr, and caret.