Data Science

If you mean the meaning of Data Science, then the simple answer is that it is a study of data. Under this are some developing methods such as recording, storing, and analyzing data, so that all the useful information can be extracted effectively.

The main goal of Data Science is to get the right insights and knowledge from any data – whether it is structured or unstructured data.

By the way, data science is related to computer science, but it is a different field. Under computer science is to create programs and algorithms so that data can be recorded and processed. In contrast, data science covers any data analysis, whether using computers or not.

Data science is more related to mathematics field statistics, under which the collection of data, organization, analysis, and presentation.

In today’s time, many large modern companies and organizations maintain a large amount of data; data science has become a very important part of IT.

For example, a company has an amount of user data in the number of petabytes; for this, using data science, some effective methods are required to store, manage, and analyze the data very easily.

In such a situation, the company can use many scientific methods; it can also run tests and extract the results, providing meaningful insights for its users.

Data Science vs. Data Mining

People often understand Data science as Data Mining. They often get confused with these two. The truth is that data mining is a subset of data science.

In this, a very large amount of data (such as big data) is analyzed to extract any patterns or useful information. Data science covers the entire scope of data collection and processing.

See also  802.11ac

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