To succeed as a Data Scientist, one must possess appropriate skills and qualities and develop relevant expertise. To take the first steps towards becoming a Data Scientist, it, thus, becomes very important to understand what a Data Scientist does every day.
To succeed as a Data Scientist, one must possess appropriate skills and qualities and develop relevant expertise. To take the first steps towards becoming a Data Scientist, it, thus, becomes very important to understand what a Data Scientist does every day.
A Data Scientist spends 40% of the time in doing data related work, i.e. understanding the data, transforming the data, visualizing the data, doing exploratory analysis, understanding null values, imputing values through suitable rules and logics and understanding the problem and business case.
Further, 40% of time is spent in going through a list of numerous available algorithms, reviewing the logical and mathematical basis of relevant algorithms, choosing the appropriate algorithm based on problem at hand to be solved and adopting, diagnosing and improving the selected algorithm and model for best possible solution. Further 20% of time is spent in coding related to modelling.
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