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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

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Paper Title: A Review of data science technology and Applications
Authors Name: Parinita J Chate
Unique Id: IJSDR2005035
Published In: Volume 5 Issue 5, May-2020
Abstract: Data Science refers to an emerging area of work concerned with the collection, preparation, analysis, visualization, management, and preservation of large collections of information. Although the name Data Science seems to connect most strongly with areas such as databases and computer science, many different kinds of skills including non-mathematical skills are also needed here. 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. The 21st century has ushered in the age of big data and data economy, in which data DNA, which carries important knowledge, insights, and potential, has become an intrinsic constituent of all data-based organisms an appropriate understanding of data DNA and its organisms relies on the new field of data science and its keystone, analytics, This review paper provides a comprehensive survey and tutorial of the fundamental aspects of data science: the evolution from data analysis to data science, the data science concepts, a big picture of the era of data science, the major challenges and directions in data innovation, the nature of data analytics, new industrialization and service opportunities in the data economy, the profession and competency of data education, and the future of data science. Data science is growing up fast. Over the past five years companies have invested billions to get the most-talented data scientists to set up shop, amass zettabytes of material, and run it through their deduction machines to find signals in the unfathomable volume of noise. It’s working to a point. Data has begun to change our relationship to fields as varied as language translation, retail, health care, and basketball. But despite the success stories, many companies aren’t getting the value they could from data science. Even well-run operations that generate strong analysis fail to capitalize on their insights. Efforts fall short in the last mile, when it comes time to explain the stuff to decision makers. Basically we are focusing in this paper application of data science and upcoming technology which can be implementing in industrial to improve the quality of the product, Statistics, Automation, Machine learning, Cloud computing, Maintenance, Big Data etc.
Keywords: Data science, Statistics, unstructured data, Machine learning, Cloud computing, Operations.
Cite Article: "A Review of data science technology and Applications", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 5, page no.203 - 213, May-2020, Available :http://www.ijsdr.org/papers/IJSDR2005035.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2005035
Registration ID:191706
Published In: Volume 5 Issue 5, May-2020
DOI (Digital Object Identifier):
Page No: 203 - 213
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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