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Which programming languages and tools should a web developer learn to transition into a data scientist role?

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For a web developer transitioning to data science, Python is essential, along with libraries like NumPy, Pandas, and Scikit-Learn. R is also valuable. Learn these languages through online courses, tutorials, and practice projects. Explore data science tools like Jupyter Notebooks for coding and data analysis. Additionally, study statistics and machine learning through online courses or textbooks to build a strong foundation in data science. If you are interested in getting into this field, then check out this video about Furqaan and how he upskilled from web development to data science with the help of Intellipaat’s Advanced Certification in Data Science and AI.

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