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What is the best learning path to become a Data Scientist

  • 1.  What is the best learning path to become a Data Scientist

    Posted Wed August 12, 2020 12:16 AM
    Dear all

    Hope you all are safe and healthy.

    I would like to become a data scientist, which is the best learning path for success.
    regards

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    Ruben Quispe


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  • 2.  RE: What is the best learning path to become a Data Scientist

    Posted Thu August 13, 2020 01:12 AM
    Edited by Marco Aurelio Sánchez Sorondo Thu August 13, 2020 01:16 AM
    Hey Ruben! I'd say that the key is to have two main resources: a theoretical and a practical one. 
    Let me explain why: there are lots of theoretical resources out there (mainly books) that have really good content and dive into quite detail, and this are techically useful things. But all of this detail and extension is useless unless you actually dive into real world problems,use those tools and (more importantly) distinguish the ones that are more commonly used in real world scenarios from the ones that aren't worth practicing...

    Practical resources: Kaggle (BY FAR the best one, they have 'micro courses' that teach you the concepts behind data science and force you to apply them right away into real-world projects), "Machine Learning with Scikit-Learn and TensorFlow" (book), fast.ai (applied course, deep learning-oriented).

    Theoretical resources: "Introduction to statistical learning" (book, if you aim to have a solid mathematical foundation ), "Elements of statistical learning" (same authors as the former, but more advanced and detailed), "Python Data Science Handbook: Essential Tools for Working with Data" (more applied and conceptual, less mathematical).

    Truth being told,   most introductory books  and courses use the name "Data Science" or "Machine Learning" or "Deep Learning" despite the fact that they all guide you throughout the entire Data science-Machine Learning process and explain what are these concepts and how to use them. I'd go first for the Kaggle microcourses to get the grasp on the concepts behind this field with the immediate hands-on exercises that they provide and THEN choose which literature to use to dive into more detail. 

    So choose one or two from the above and enjoy!



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    [Marco] [Sánchez Sorondo]
    [UBA]
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