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What Are The Prominent Aspects Involving Data Science?
Data science is a broad field of research that deals with data systems and processes and aims to interpret with large data sets and derive meaning from them. Data Science is based on Machine Learning, Artificial Intelligence and new technologies that draw insights from big data. It is an interdisciplinary field that covers multiple disciplines like mathematics, statistics and computer science & also it covers a wide range of other disciplines such as computer vision, machine intelligence and artificial neural networks.
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Prominent Aspects In Data Science:
Statistical Method is a scientific method in which statistical data are analyzed from a set of data points to derive a quantitative result, or a statistical conclusion. The scientific conclusion is often presented in graphical form, as a plot, graph or histogram. Statistics Methods is using to analyze, describe, interpret data from any data sources. Statistics can also be applied to business or industry.
Data Mining is the process of finding relationships between various factors by searching through large volumes of data. A popular tool used in Data Mining is the cluster analysis tool, in which a series of small clusters is searched through to find statistically relevant clusters.
Artificial Intelligence deals with the use of computers to perform certain tasks. Examples of AI include self-teaching software, speech recognition software and image processing software. AI is often used for machine learning, natural language processing, automated systems and software engineering. Machine Learning is the process of developing software systems that are able to detect patterns in large databases.
Apart from these, Machine Learning, Exploratory Data Analysis, Data Visualization, etc are among the other prominent aspects involving Data Science. Become career-ready in Data Science with Analytics Path Data Science Training In Hyderabad program.