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Study of Relevance of the Engineering Career in Data Science

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.