Data Science

Data Science

We are living in the era of the data. Thousands of gigabytes of data are emerged from various sources each day. Analysing and inferring meaningful extractions from such a bulk of data is one of the main research topics of computer science these days. Learning systems are the crafts to succeed. These learning systems are formed under the name of the data science systems.
Within the initial years of data management systems, the major goal of studies was efficiently saving and querying the data, however with the improvements of the computational mediums, decreasing price of storage devices and incredibly powerful learning algorithms, goal of current data management systems become much more analytic and forecasting based.
As mentioned above, goal of the data science is solving analytically complex problems as efficient and optimal as possible. In order to achieve these goals interdisciplinary approach must be taken. This approach has parts from the area of mathematics, statistics, computer science and business.
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At OREDATA, we believe in the power of the data. With the background from all the branches mentioned above, we are capable to understand the insights of entangled data sources from various domains like telecommunication, banking, business etc.

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