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Data Science

Data science is an emerging research area concerned with extracting knowledge and value from data. Data science employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science, including signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition and learning, visualization, predictive analytics, uncertainty modeling, data warehousing, data compression, computer programming, artificial intelligence, and high performance computing. Methods that scale to big data are of particular interest in data science, although the discipline is not generally considered to be restricted to such big data, and big data solutions are often focused on organizing and preprocessing the data instead of analysis. Whilst data engineering is an established research area concerned with data intensive systems and algorithms, e.g., practical solutions for big data, it is a core discipline of data science, and as such is facing many new challenges, both in leveraging existing techniques in the context of classical data anatytics, as well as in developing new techniques for the novel types of analytics that have become possible because of increased data storage.

Updated:: 13/06/2019 [azimin]

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