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Asked by Tarwar Last Modified
Answer 
So in that case the main differences are: Tableau & Power BI are a lot easier to learn and use, pretty much anyone can quickly pick them up and start using. R & Python, combined with third party libraries/packages, is significantly more flexible and powerful, at the expense of much steeper learning curve and complexity.
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Learning Python or R gives you more control and power over your data analysis compared to using tools like Tableau and Power BI alone. With Python or R, you can handle complex data manipulation, perform advanced statistical analyses, and even dive into machine learning. These languages are customizable, letting you do specific tasks that might not be possible with just Tableau or Power BI. They're also free and have huge communities behind them, offering lots of resources and support. While Tableau and Power BI are great for quick, user-friendly data visualization, Python and R unlock a wider range of possibilities for in-depth data science work.
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