A roadmap to data science: background, future, and trends. (3rd May 2021)

• Record Type: Journal Article
• Authors: Khder, Moaiad Ahmad; Fujo, Samah Wael; Sayfi, Mohammad Adnan
• Is Part Of: International journal of intelligent information and database systems. Volume 14:Number 3(2021)
• Page Start: 277
• Page End: 293
• Publication Date: 2021-05-03
• Subjects: data science -- big data -- data science trends; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• Languages: English
• ISSNs: 1751-5858

Abstract

Data science is a combination of several disciplines that aims to get accurate insights from a bunch of data, develop the technology, and algorithm to solve the complicated problems analytically. Today, data science plays a massive role in our life, and researchers realise how it is essential. Numerous research studies on data science have been published in recent years, but each focus on specific issues, such as data science and its impact on business, manufacturing, academia, and healthcare. This paper will present a roadmap of data science to benefit the readers to know about this field and realise how it is essential in several areas. In addition, it clarifies the mechanism of how data science work and what are the capabilities of the data scientist to be able to work in this field. It also shows the trends and future work of data science.