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Practical data science for the web professional

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  • Nescot, Michael

Abstract

Data science is an increasingly powerful force that is transforming the web and society. While data science is complex and rapidly evolving, interactive, computational tools such as the Jupyter Notebook are making the underlying methods more accessible to diverse audiences, creating new opportunities for collaborative research and sharing data across a range of disciplines and fields. While data science is an essential competitive tool for leading commercial web companies, such tools are also making it a valuable development asset for smaller non-profit and government organisations. Open data science also has potentially significant social benefits in promoting reproducible research and transparency. Data science provides tools and techniques for developing a variety of web applications, while in the process making the web a more distributed, adaptable and personalised network.

Suggested Citation

  • Nescot, Michael, 2017. "Practical data science for the web professional," Journal of Digital & Social Media Marketing, Henry Stewart Publications, vol. 5(3), pages 270-279, September.
    • Handle: RePEc:aza:jdsmm0:y:2017:v:5:i:3:p:270-279
    as

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    More about this item

    Keywords

    data science; machine learning; deep learning; natural language; processing; conversational agents; chatbots;
    All these keywords.

    JEL classification:

    • M3 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising

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