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What is Data Science?
The term “data science” (originally used interchangeably with “datalogy”) has existed for over thirty years and was used initially as a substitute for computer science by Peter Naur in 1960. Data science, also known as data-driven science, is an interdisciplinary field about scientific methods, processes and systems to extract knowledge or insights from data in various forms, either structured or unstructured, similar to Knowledge Discovery in Databases (KDD).
Data science is a body of knowledge that is used for studying large volumes of data, both structured and unstructured. Data science is a culmination of many other bodies of knowledge and their application. Some of the bodies of knowledge from which data science draws upon include mathematics, statistics, information theory, computer science, signal processing, probability models, machine learning, data mining, database management, data warehousing, data engineering, etc and many more.
Few topics which our Data science assignment help include:
- General Aspects of Data Science
- Methodologies in Classification
- Classification and Discrimination
- Related Approaches for Classification
- Correspondence Analysis, Quantification Methods and Multidimensional Scaling
- Multivariate and Multidimensional Data Analysis
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