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Now a day with the sophistication of the programming languages and tools available, there are pre-defined methods and libraries for virtually everything and data scientist need not code the logic by themselves. However, a successful data scientist must be aware of the algorithms in terms of what they are doing, and in which use-cases can they be used. A software engineer, on the other hand, need not be adept in a data structure or data science algorithms. Rather, their task is to create and design an application that could consume in the data science model and provide relevant output to businesses.  

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