Автор Тема: What is Data Science?  (Прочитано 321 раз)

Оффлайн saurabhharshe

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What is Data Science?
« : 26 Март 2022, 12:02:40 »
Data Science continues to be a hot topic among professed professionals and associations that are fastening on collecting data and drawing meaningful perceptivity out of it to prop business growth. A lot of data is an asset to any association, but only if it's reused efficiently. The need for storehouses grew multiplex when we entered the age of big data. Until 2010, the major focus was towards erecting a state of the art structure to store this precious data, that would also be penetrated and reused to draw business perceptivity. With fabrics like Hadoop that have taken care of the storehouse part, the focus has now shifted towards recycling this data. Let us see what's data wisdom, and how it fits into the current state of big data and businesses.

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Оффлайн John Alex

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What is Data Science?
« Ответ #1 : 08 Февраль 2023, 14:18:54 »
The process of transforming ambiguous data into insightful understandings that may be used for various crucial organizational decisions is known as data science.

Simply described, data science is the process of learning from data using scientific methods, techniques, algorithms, and systems and then applying that learning to make decisions and evaluate risks, target audiences, and even identify market gaps and opportunities. Numerous methods, including time series analysis, are also applied to identify market patterns.

In order to make informed decisions, industries need data. Unstructured data is transformed into insightful information via data science. Data science is consequently necessary for the industry. A data scientist is a magician who is skilled at working data magic.

Any data he comes across can be mined for useful information by a qualified data scientist. He properly helps the organization. The business needs him to make solid decisions that are informed by facts. The data scientist is knowledgeable in a variety of statistical and computer science subfields. He solves corporate difficulties using his analytical prowess.

To become a certified data scientist, explore the data science course in Bangalore.