Data science is a multidisciplinary field for analyzing large amounts of data, with the object of generating results that can support decision management.
In the realm of big data, data is analyzed to create meaningful insights to support real-time decision making or as part of a future strategy or endeavor.
The life cycle of a typical data-science project consists of two phases or steps: business and data understanding, and data preparation.
In a data-science project, data preparation consists of capturing, scrubbing, and processing the data.
To make use of the data, mathematical models are created and used as classifiers for finding data with similar characteristics or for making predictions.
To aid the decision-management process, the modeling results need to be communicated in a manner that makes sense to the decision makers; and whenever possible, it is important to present the data analysis visually.
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