Nowadays, we are very familiar to hearing the word ‘Data Science’. What does it actually mean? It is the science or technology which focuses on collecting raw data and processing it in an effective manner. In all our daily work, indirectly we work on storing and exchanging data. With the rapid development in technology, the need of storing data effectually is also increasing. That’s why it needs to be handled properly. So basically, it is discovering hidden insights of raw data and using them for productive output.
Now, why do we need data science?
It is emerging as a boon in the industry. Companies are more focused on data mining to make their business more productive. They are working more on the data driven approach, rather than other strategies to bring the firm to the top in the market. According to surveys, the demand for data scientists is increasing day by day. We collect, store and process data every second. For example–> In a hospital, the information of patients is recorded every minute. Everyone is using net banking for online transactions, in that too we are giving our data on the sites (pin number, account number etc.) and the data is processed to give the output. So, the security of our data is also important. We can take the example of ‘Netflix’ too. What Netflix does is: it insights the interest of the user and then arrange the movies and TV series pattern according to them which has made it popular. There is a good future in it for those who are interested in the technical world. There would be many jobs with high packages available in the future. So, in this way, it is helping the industry and that’s why the demand of data scientists is increasing.
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