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Data science What Is It and Why Is It So Important





What is data science?

âData scienceâ sounds quite like a sci-fi term, doesnât it? It is a âlittle out of the wayâ thing for most of the people. So, most of the common people donât know exactly what it is. Well, data science is a very vast interdisciplinary field of science which involves dealing with large volumes of data to find out useful information out of it and using that information for some specific purposes like business, risk management, weather forecasting, and many more. Data science includes the applications of many disciplines like statistics, predictive modelling, machine learning, data mining, and so on.

What is the need for data science?

These days, data is being created by every organization, company, agency and even by working individuals from all over the world. Every business firm is collecting data related to its sales, customers, and other such factors. This has led to the production of an enormously large amount of data (generally referred to as âBig Dataâ), which amounts to as much as a few petabytes of data, per day. However, this enormously large data is directly of no use and must be first changed into a form more interpretable for humans. This is where the requirement of data science arises. Using these results, companies can understand the demands and expectation of their customers and improve their services accordingly. This, in turn, helps them to maximize their trade, and hence, the profit. So, these days, data science is considered to be a very hot field and the demand for skilled data scientists is very high in the industries.

The main aspects of data science

Since data science is a very vast field, one canât claim to have the complete skills of all the fields associated with it. It utilizes the application of many separate disciplines, which have been discussed below:

1. Data engineering- Data engineering is a very important component of data science. It can be imagined to be the foundation of data science on which the other components operate. Data engineering is a technical field and it is used for the pre-processing of data through various processes like collection of data, maintaining databases, data transformation and a few more. It basically converts the raw data into data cubes, which are easier to be processed at further levels.

2. Machine learning- Machine learning mainly involves training the machines to recognize data patterns in any given set of data and deriving the required data out of it. It also includes building data models and crafting algorithms to give predictive data on the basis of the already available information.

3. Business analysis- Most of the data analysis is done for the purpose of business. So, it is very important to know how to utilize the derived information in such a way that results in maximum profit. For this, business analysts use the business-standard data provided by machine learning experts and communicate with the higher management level of the company.

These were only a few of the many components of data science and there is a lot more of it. So, there is a very large scope for a good career in the field of data science, which is expected to only grow in the coming years.

The Data Science Certification course in Mumbai is an excellent choice for anyone who wants to make a good professional career as a data scientist. So, Iâll recommend you to surely go for it without any hesitation.
About Author digital tucr :

The Data Science Certification course in Mumbai is an excellent choice for anyone who wants to make a good professional career as a data scientist.


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Article Added on Sunday, December 23, 2018
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