Survey on Data Science and Data Scientist

Authors

  • Ashwin Karanth  Department of Computer Science and Engineering, SKSVMACET, Laxmeshwar, Karnataka, India
  • Prakash Hongal  Assistant Professor Department of Computer Science and Engineering, SKSVMACET, Laxmeshwar, Karnataka, India

DOI:

https://doi.org/10.32628/CSEIT2063136

Keywords:

Data Scientist, Data Science, Management, Cloud Computing.

Abstract

Data science is a study of extracting, collecting, gathering of the data, representation and protecting the data to be used for business purpose or for other usage like technical and other software related platform. Data science is a combination of database, software, different types of quantitative aptitudes, qualitative aptitudes and non-mathematical abilities. Data Science is study of flow of the information from extremely large amount of data present in an organization. This paper illustrates what is data science, its application and issues which has to be removed. Next session of this paper consists of different analysis regarding to Data Science. Next session of this paper illustrates whole process of Data Science and all the related data research issues for the data science. At the end of the paper author will attempt to investigate the issues, execution and difficulties in data science. We will also look over some possible suggestion which can be considered for further research.

References

  1. “A deep desertion in data science: related issues and application” by IEEE 2019
  2. https://intellipaat.com/blog/what-is-data-science/
  3. https://www.educba.com/introduction-to-data-science/
  4. https://medium.com/@storybydata/characteristics-of-a-data-scientist-ten-cs-4e3b185cc7cd
  5. https://www.google.com/amp/s/data-flair.training/blogs/pros-and-cons-of-data-science/amp/ 

Downloads

Published

2020-06-30

Issue

Section

Research Articles

How to Cite

[1]
Ashwin Karanth, Prakash Hongal, " Survey on Data Science and Data Scientist" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 3, pp.582-586, May-June-2020. Available at doi : https://doi.org/10.32628/CSEIT2063136