Data Science is an area of professional activity that despite having its recognized origin in information technology is considered interdisciplinary, permeating areas of knowledge such as mathematics, statistics, information science, business processes and digital media and In short, it is a science that aims to study information, its process of capture, transformation, generation and, subsequently, data analysis. Data science involves several disciplines.
It can be summarized as a set of methods, practices and scientific systems to extract knowledge or insights from structured or unstructured data. Data Science is a much-disciplined study of the data and other information inherent to the company and the views surrounding a particular subject. In order to avoid confusion, it is important to note that data science is different from statistical analysis and also from computer science in relation to its method applied to the data collected using scientific principles.
The main reason is Big Data, which is responsible for demanding the use of different technologies in relation to statistical analysis. In other words, statistics professionals who have been in the market for years would not be able to do a deep analysis of the data in mass almost in real-time, which is what happens nowadays in large companies
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Therefore, inevitably a large part of the companies are part of this data ecosystem, and without careful monitoring and analysis in a short time, it will be almost impossible to make smart decisions in favor of good results. It is important to highlight that the data allows companies and organizations to better understand their customers and consumers and can improve their processes more and more. Given all these facts, Data Science has been much more relevant in news about industry and business, and not for less, because it is an academic discipline and profession fully on the market. In this case, data science is seeking to discover demandable knowledge from a large and heavy amount of data that can be used to make decisions and make predictions, not simply the interpretation of numbers.
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