Introduction to Data Science

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Mathematical Foundations of Software Engineering

Part of the book series: Texts in Computer Science ((TCS))

Abstract

There has been a phenomenal growth in the use of digital data in information technology, with vast amounts of data collected, processed, and used. Data science is a multidisciplinary field that extracts knowledge from data sets that consist of structured and unstructured data, and large data sets may be analysed to extract useful information. Data science may be regarded as a branch of statistics as it uses many concepts from the field, and in order to prevent errors occurring during data analysis it is essential that both the data and models are valid.

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Notes

  1. 1.

    Big data involves combining data from lots of sources such as bar codes, cctv, shop** data, driver’s license, and so on.

  2. 2.

    A zettabyte is 1 sextillion bytes = 270 bytes (approximately a billion terabytes or 1000 exabytes or a trillion gigabytes).

Reference

  1. O’Regan G (2021) Guide to discrete mathematics, 2nd edn. Springer, Berlin

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O’Regan, G. (2023). Introduction to Data Science. In: Mathematical Foundations of Software Engineering. Texts in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-031-26212-8_24

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  • DOI: https://doi.org/10.1007/978-3-031-26212-8_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-26211-1

  • Online ISBN: 978-3-031-26212-8

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