Abstract
The analysis of large volumes of information has become necessary for decision-making in companies, creating new roles and capacities that must be covered. To meet this demand, institutes and universities have created curricular programs that satisfy this need; however, the coverage of these programs is non-standard and leaves important topics uncovered. This paper compares a set of academic curricula inside and outside of Costa Rica based on the report Computing Competencies for Undergraduate Data Science Curricula - ACM Data Science Task Force.
Likewise, the results of a survey with professionals from different industries to identify the topics related to data science that they learned in formal education, work or that they would need to know, providing an overview of the issues that should strengthen or add within the academic curricula analyzed.
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Guzmán Benavides, J.C., Chacón Páez, A., López Herrera, G. (2024). Data Science Analysis Curricula: Academy Offers vs Professionals Learning Needs in Costa Rica. In: Rocha, A., Adeli, H., Dzemyda, G., Moreira, F., Colla, V. (eds) Information Systems and Technologies. WorldCIST 2023. Lecture Notes in Networks and Systems, vol 800. Springer, Cham. https://doi.org/10.1007/978-3-031-45645-9_35
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