Advantages and Disadvantages of Data Science

In today’s world, data is being generated at an alarming rate. Every second, lots of data is generated; be it from the users of Facebook or any other social networking site, or from the calls that one makes, or the data which is being generated from different organizations. How to handle such an incredible amount of data has become a concern for people around. So in order to understand and manage this huge amount of data, data science has come to our rescue.

Data Science is a combination of the following skills: Mathematics expertise, business/strategy acumen and technology and hacking skills.

It helps us in analyzing, understanding, processing and extracting the information from the structured as well as unstructured data. Understanding and processing of data is generally done by two groups: first being the data scientists and the second are the analysts.

The data scientists are involved in the root level where they work on the database to obtain information and contribute in developing the product. These people have good mathematical and business acumen abilities. However, data scientists play a vital role in helping to design and develop the product. Their task is to build algorithms, test and refine them and finally deploy into the production system.


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