If you mean the meaning of data science , then the simple answer is that it is a study of data . Under this, 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 type of data – whether it is structured or unstructured data.
Although 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, while data science covers any type of 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 also 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 a large amount of user data in about petabytes, for this, using data science, some effective methods have to be created so that the data can be stored, managed, and analyzed very easily.
In such a situation, the company can use many scientific methods, it can also run tests and extract results that can provide some meaningful insights for their users.
Data Science vs Data Mining
People often understand Data science as Data Mining . They often get confuse 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, so that any patterns or any useful information can be extracted. Data science covers the entire scope of data collection and processing.