Research Analysis on Applications of Data Science

  • Malgireddy Saidireddy


Data Science is much more than simply analysing data. There are many people who enjoy analysing data who could happily spend all day looking at histograms and averages, but for those who prefer other activities, data science offers a range of roles and requires a range of skills. Data science includes data analysis as an important component of the skill set required for many jobs in the area, but is not the only skill. Data scientists play active roles in the design and implementation work of four related areas such as data architecture, data acquisition, data analysis and data archiving. We give an overview over different proposed structures of Data Science and address the impact of statistics on such steps asdata acquisition and enrichment, data exploration, data analysis and modeling, validation and representation and reporting.Also, we indicate fallacies when neglecting statistical reasoning. Data Science is considerably more than just breaking down data. There are numerous individuals who appreciateexamining data who could cheerfully go through throughout the day taking a gander at histograms and midpoints, however forthe individuals who lean toward different exercises, data science offers a scope of jobs what's more, requires a scope of abilities.Data science incorporates data examination as a critical segment of the expertise set required for some employments in theregion, however isn't the just aptitude. In this paper the creator’s exertion will focused on to investigate the diverse issues,execution and difficulties in Data science.

How to Cite
Saidireddy, M. (2020). Research Analysis on Applications of Data Science. International Journal of Advanced Science and Technology, 29(3), 3660 - 3668. Retrieved from