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Contemporary Data Science For Finance Students. Essential Features Of Commonly Used Statistical Software - A Comparative Study

Author

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  • Mãdãlina Viorica ION (MANU)

    (Bucharest University of Economic Studies, Romania)

  • Ilie VASILE

    (Bucharest University of Economic Studies, Romania)

Abstract

This paper inventories some of the essential traits of the software preferred by researchers, students and professors, such as R or RStudio, or Matlab and also their possible utilizations. In order to fill the gap in the Romanian literature and help finance students in choosing proper tools according to the research purpose, this comparative study aims at bringing a fresh, useful perspective in the relevant literature. In Romania, the use of R was the focus of several international conferences on official statistics held in Bucharest, and others having business excellence, innovation and sustainability as purpose. In this time, at global scale, R and Python programming languages are considered the lingua franca of data science, as common statistical software used both in corporations and academia. In this paper, I analyze basic features of such software, with the purpose of application in finance.

Suggested Citation

  • Mãdãlina Viorica ION (MANU) & Ilie VASILE, 2019. "Contemporary Data Science For Finance Students. Essential Features Of Commonly Used Statistical Software - A Comparative Study," Business Excellence and Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 9(2), pages 14-20, June.
    • Handle: RePEc:rom:bemann:v:9:y:2019:i:2:p:14-20
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    References listed on IDEAS

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    1. Madalina Viorica Manu & Ilie Vasile, 2020. "Contemporary Data Science for Finance Students: A Comparative Study of Essential Features of Commonly Used Statistical Software," International Journal of Innovation and Economic Development, Inovatus Services Ltd., vol. 6(2), pages 19-24, June.

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