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Study of Relevance of the Engineering Career in Data Science

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Inventive Communication and Computational Technologies

Abstract

Data science aims to describe methods, techniques, data analytics strategies, mathematical, statistical, and computational modeling for engineering and data science, for timely decision-making, and also in the interaction of these areas and the tools that result from it, through the transversal and applied nature of the program, with the ability to address and solve complex problems in an innovative way. Planning, designing and executing data science projects, aligning them with accepted regulations, good practices, and IT governance, this study aims to demonstrate the relevance of the creation of the Data Science engineering career, specifically in Ecuador, obtaining as a result, a favorable response to relevance, with high scores of interest and acceptability in studies and relevance in the area of data sciences, including the study also reflects a global trend in this area.

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Notes

  1. 1.

    Conducted from a survey of more than 800 managers and managers from 17 countries, the report ‘Talent Trends 2020’ aims to provide useful information and forecasts on the main trends in human resources and talent attraction.

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Correspondence to Wayner Bustamante .

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Molina-Granja, F., Barba, L., Molina, L., Bustamante, W., Ashok, B., Swaminathan, J.N. (2023). Study of Relevance of the Engineering Career in Data Science. In: Ranganathan, G., Fernando, X., Rocha, Á. (eds) Inventive Communication and Computational Technologies. Lecture Notes in Networks and Systems, vol 383. Springer, Singapore. https://doi.org/10.1007/978-981-19-4960-9_67

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