Data Science

In today's world of race in digitalization, we are witnessing the exponential growth of data around us - we can make a use of it.

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Using various tools, algorithms and scientific principles with the focus on analyzing the past or current data and predicting the future outcomes with the aim of making informed decisions.


The most important thing in Data Science is to understand the requirements and the business problem. After that, it is crucial to follow all the phases of the Data Science lifecycle.

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