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Python > Learn Python > Which is better for data analysis: R or Python?
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Which is better for data analysis: R or Python?

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Maths tutor with 7 years experience

If you're passionate about the statistical calculation and data visualization portions of data analysis, R could be a good fit for you. If, on the other hand, you're interested in becoming a data scientist and working with big data, artificial intelligence, and deep learning algorithms,...
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If you're passionate about the statistical calculation and data visualization portions of data analysis, R could be a good fit for you. If, on the other hand, you're interested in becoming a data scientist and working with big data, artificial intelligence, and deep learning algorithms, Python would be the better fit. read less
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see here data analytics is the best for without coding part and we can get into early. so remaining also but difference is programming part. if you are not interested coding then you go with data analytics
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Python trainer believe in practical learning.

Both R and Python are popular choices for data analysis, and the better option depends on the specific requirements and context. R has a rich ecosystem of statistical packages and is widely used in academia and research. It provides extensive data manipulation and visualization capabilities, making it...
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Both R and Python are popular choices for data analysis, and the better option depends on the specific requirements and context. R has a rich ecosystem of statistical packages and is widely used in academia and research. It provides extensive data manipulation and visualization capabilities, making it ideal for statistical analysis. Python, on the other hand, offers a versatile and general-purpose programming language. It excels in scalability, machine learning, and web development integration. It has powerful libraries like NumPy, Pandas, and scikit-learn, making it suitable for a wide range of data analysis tasks. The choice between R and Python ultimately depends on the specific needs of the project, existing infrastructure, and personal preferences. read less
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