Different Types Of Tools In Data Science

[Ruhi Parveen]

Data science relies on various tools for data analysis, modeling, and visualization. Common tools include programming languages like Python and R, which offer libraries such as Pandas, NumPy, and scikit-learn for data manipulation and machine learning. SQL is essential for database management. Visualization tools like Tableau, Power BI, and matplotlib help create insights. Big data platforms such as Hadoop and Spark handle large datasets. For deep learning, TensorFlow and PyTorch are widely used. Additionally, cloud services like AWS and Google Cloud provide scalable infrastructure for data science projects. These tools are essential for efficient data-driven decision-making.
Read more about data science: Best Data Science Training in Delhi

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