Following are the key points related with different aspects of data scientist, that are described later in this article:
The data scientists play some of the following roles (each matching to an existing IT professional role) and this is why it makes it tricky for a person to become a data scientist or fire a data scientist as he may be required to be skilled in more than one area such as some of the following. Thus, if you are already one of the following, it should be easier to get started on the journey of data science.
If you look at above, it may seem like hiring a team to solve the data science problem and it may not be feasible for one person to acquire all the skills.
Following are some of the key activities (responsibilities) that a data scientist perform:
In addition to above, in order to do great job with above, a data scientist would be require to understand the business domain knowledge (represented by Substantive Expertise in diagram below) associated with the data. Following diagram represents key aspects of a data scientist.
If you are one of the following, read further to understand what may get needed to become a data scientist:
Data scientist is primarily about creating data products that could be used by others to use the data for their own analysis or visualizations. Data products help communicate the results to others. Following are some of the examples:
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