Difference between revisions of "Data Science versus Statistics"
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== Issues and Challenges == | == Issues and Challenges == | ||
| − | * Despite the use of the word "Science", Data Science is not more scientific than Statistics. Statistics is a term used in academy context for a much longer period and it is more sharply and rigorously defined as sub-field of mathematics. | + | * Despite the use of the word "Science", Data Science is not more ''scientific'' than Statistics, actually less so. Statistics is a term that has been used in academy context for a much longer period and it is more sharply and rigorously defined as sub-field of mathematics. |
== See Also == | == See Also == | ||
Revision as of 17:23, 5 December 2023
Data Science versus Statistics
Statistics is an academic field (branch of Mathematics) and a professional discipline (practiced in various domains) that concerns the systematic collection, organization, analysis, interpretation, and presentation of data.
Data Science is a broader, interdisciplinary activity, that may use Statistics but also other computational tools, processes, algorithms and systems to extract or extrapolate knowledge and insights from diverse data.
Issues and Challenges
- Despite the use of the word "Science", Data Science is not more scientific than Statistics, actually less so. Statistics is a term that has been used in academy context for a much longer period and it is more sharply and rigorously defined as sub-field of mathematics.
