In simple terms Data Science can be thought of the civil engineering of the data. To explain little further, it refers to an emerging area of work concerned with the collections, preparation, visualization, management and preservation of huge collection of information.
Data Products are the outcome of Data Science and it empower others to use data and perform their own analysis. It is about making empirical decisions, which is possible by the higher ability to data acquisition, thanks to the technological advancement. A good example is the spell checker program which have a collection of correct dictionary words match against a set of wrongly written words.
The THREE major tasks associated with Data Science are
(1) Preparing to run a model
Involves most of the time and effort
(2) Running the model
This can be achieved by the efficiency of the algorithm
(3) Interpreting the results
This task also require much of the time, as the actual
data need to be mine out from the model.
Data Products are the outcome of Data Science and it empower others to use data and perform their own analysis. It is about making empirical decisions, which is possible by the higher ability to data acquisition, thanks to the technological advancement. A good example is the spell checker program which have a collection of correct dictionary words match against a set of wrongly written words.
The THREE major tasks associated with Data Science are
(1) Preparing to run a model
Involves most of the time and effort
(2) Running the model
This can be achieved by the efficiency of the algorithm
(3) Interpreting the results
This task also require much of the time, as the actual
data need to be mine out from the model.
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