Open AccessSurvey on Data Science and Data Scientist
Author(s) -
Ashwin Karanth,
Prakash Hongal
Publication year - 2020
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit2063136
Subject(s) - computer science , session (web analytics) , data science , process (computing) , software , e science , external data representation , world wide web , artificial intelligence , geometry , mathematics , programming language , grid , operating system
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.