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Data science is "a concept to unify statistics, data analysis, informatics, and their related methods " to "understand and analyze actual phenomena " with data. [5] It uses techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, information science, and domain knowledge. [6]
Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...
A slew of weaker-than-expected economic data, highlighted by July's jobs report triggering a closely watched recession indicator, has sent the stock market tumbling. Across the first two days of ...
Exploratory data analysis is an analysis technique to analyze and investigate the data set and summarize the main characteristics of the dataset. Main advantage of EDA is providing the data visualization of data after conducting the analysis. Tukey's championing of EDA encouraged the development of statistical computing packages, especially S ...
Master in Data Science. A Master of Science in Data Science is an interdisciplinary degree program designed to provide studies in scientific methods, processes, and systems to extract knowledge or insights from data in various forms, either structured or unstructured, [1] [2] similar to data mining .
The NYU Center for Data Science (CDS) is a degree-granting graduate institute and research center at New York University. It was established in 2013 by computer scientist Yann LeCun. [1] CDS offers a M.S. in Data Science and, as of 2017, it was one of the first universities in the U.S. to offer a Ph.D. in Data Science. [2]
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