Introduciton
Data Science is the Science for extraction of knowledge from large volumes of data.
Data can structured formats like databases, excel sheets, log files or unstructured formats like email, blogs post comments or online discussions.
Data scientists use the ability to
- find and interpret rich data sources;
- manage large amounts of data despite hardware, software, and bandwidth constraints;
- merge data sources;
- ensure consistency of datasets;
- create visualizations to aid in understanding data;
- build mathematical models using the data; and
- present and communicate the data insights/findings (preferably actionable insights) to specialists and scientists in their team and if required to a non-technical audience.
History
In 1960 by Peter Naur, initially used term -“data science”/”datalogy” as a substitute for computer science.
In 1974, Peter Naur published Concise Survey of Computer Methods, which freely used the term data science in its survey of the contemporary data processing methods that are used in a wide range of applications.
In 1996, members of the International Federation of Classification Societies (IFCS) met in Kobe for their biennial conference. Here, for the first time, the term data science is included in the title of the conference (“Data Science, classification, and related methods”)
How does Data Science can help?
Some areas of research:
- Data mining and Knowledge discovery (KDD)
- Cloud computing
- Databases and information integration
- Signal processing
- Learning, natural language processing and information extraction
- Computer vision
- Information retrieval and web information access
- Knowledge discovery in social and information networks
- Information Visualization