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Top Data Science Tools in Demand

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Top Data Science Tools in Demand

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  1. Top Data Science Tools in Demand @infosectrain

  2. 1. Apache Hadoop: An open-source framework for storing and processing massive data sets on clusters of computers used in big data applications. @infosectrain

  3. 2. Tableau: A data visualization tool used for interactive, easy-to-understand data analysis. @infosectrain

  4. 3. Jupyter Notebook An open-source web-based tool for creating and sharing documents that combine live code, equations, visualizations, and narrative text. @infosectrain

  5. 4. Matlab: A powerful tool for data science, providing various built-in functions and toolboxes for data analysis, visualization, and modeling. @infosectrain

  6. 5. KNIME: An open-source data analytics and machine learning platform that allows users to create and execute workflows on diverse data sources. @infosectrain

  7. 6. Google Analytics: A web analytics tool that tracks and analyses website traffic and user behavior to improve online performance and user experience. @infosectrain

  8. 7. Python: A popular data science programming language due to its simplicity, versatility, and large libraries for analysis, visualization, and machine learning. @infosectrain

  9. 8. R (RStudio): An integrated development environment for the programming language R, used for data analysis, visualization, and machine learning. @infosectrain

  10. 9. Excel: A spreadsheet tool for organizing, analyzing, and visualizing data with functions, formulas, and pivot tables. @infosectrain

  11. 10. Statistical Analysis System (SAS) A powerful statistical analysis software tool used for data management, advanced analytics, and business intelligence. @infosectrain

  12. 11. SQL: A powerful data science tool for managing and analyzing structured data using queries and relational databases. @infosectrain

  13. 12. PowerBI: A data visualization and business intelligence tool used to analyze and present data insights. @infosectrain

  14. 13. Spyder: A user-friendly open-source integrated de- velopment environment for data science with interactive plotting, debugging, and code editing capabilities. @infosectrain

  15. www.infosectrain.com | sales@infosectrain.com

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