Conceptual, Philosophical, and Epistemological Aspects of Data Analysis

International Journal of Data Science and Big Data Analytics 4 (1):52-57 (2024)
  Copy   BIBTEX

Abstract

This research is an exploration into the realms of epistemology and philosophy of data science and data analysis. It introduces the conceptual aspects of data analysis in data science research. We describe the philosophical implications of data analysis and the role that epistemology and the expertise of analysts play in analysing data, big or small. The process of data analysis is a complex job as it involves advanced statistical tools that play a crucial role in deciphering what the data tells. It also perceives the value of data analysis as a knowledge resource and wealth for organizations that are in the business of data analytics.

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 99,169

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Analytics

Added to PP
2024-07-27

Downloads
5 (#1,757,667)

6 months
5 (#946,801)

Historical graph of downloads
How can I increase my downloads?

Author Profiles

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references