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Data analysis is the science that is responsible for examining a set of data with the purpose of drawing conclusions about the information in order to make decisions, or simply expand knowledge on various topics. The data analysis consists of submitting the data to the performance of operations, this is done in order to obtain precise conclusions that will help us achieve our objectives, said operations cannot be previously defined since data collection may reveal certain difficulties.

Currently, many businesses use data analysis to draw conclusions and decide actions to tool. It is worth stating that science also uses data analysis to test or discard existing theories or models. Daniel Burrus, business advisor and speaker on business and innovation issues, says of data analytics: “A lot of this will help humans work harder, smarter and faster, because we have data on everything that happens.”

Data analysis focuses on reaching a deduction based solely on what is already known to the investigator. The way you gather your data should relate to the way you are planning to analyze and use it, you also have to make sure you collect accurate information that you can trust, for this there are many data collection techniques.

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Modeling Data

Data Mining

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