Difference between revisions of "Data Science versus Statistics"

From Open Risk Manual
(Created page with "== Data Science versus Statistics == '''Statistics''' is an academic field (branch of Mathematics) and a professional (practiced in various domains) discipline that concerns...")
 
Line 1: Line 1:
 
== Data Science versus Statistics ==
 
== Data Science versus Statistics ==
  
'''Statistics''' is an academic field (branch of Mathematics) and a professional (practiced in various domains) discipline that concerns the systematic collection, organization, analysis, interpretation, and presentation of data.
+
'''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 uses Statistics but also other computational tools, processes, algorithms and systems to extract or extrapolate knowledge and insights from diverse 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. 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.
  
 
== See Also ==
 
== See Also ==
 
 
* [[Data Science]]
 
* [[Data Science]]
 +
* [[Data Analysis]]
 
* [[:Category:Statistics | Statistics]]
 
* [[:Category:Statistics | Statistics]]
  

Revision as of 17:13, 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. 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.

See Also

References