Domain Expertise In Data Science
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Domain expertise in data science. Domain expertise is the knowledge and understanding of a particular field. Some argue that the role of the domain expert needs to be extensive in all stages of the design and implementation process. Data scientists have and need many skills.
Often good data scientists become subject experts just by playing with the data and asking questions to domain experts about the data anomalies. This episode talks about the importance of domain knowledge in data science. As data scientists you may be working in a wide variety of industries each of which has its own intricacies that can only be learned gradually over time.
The technical aspects of the roles of data scientists are extremely transferable and so adaptation of domain knowledge takes place. The term domain knowledge has been in play even before data science became popular. Fifo vs lifo is one of kirill s tips and hacks in order to acquire domain knowledge.
In software engineering it means the knowledge about the environment in which the target i e. A lot of people who is starting out on data science do not realize that data scientist are change agents as well because of the insights that we provide changes are necessary and let s face it humans do not like change but change is necessary if the business is to. The problem is that few data science projects involve large numbers of domain experts that can provide this kind of check and insight into the data selection process.
As a simple illustration have a look at these groups of words for different industries. Perhaps the most critical. A domain expert has usually become an expert both by education and experience in that domain.
They are frequently either former academic researchers or software engineers with knowledge and skills in statistics programming machine learning and many other domains of mathematics and computer science. The collaborative strength of data science and domain expertise finally the undisputed fact is that domain experts run the daily business. So if data scientists succeed in providing an advanced data enabled decision machine to these business experts when they need it and where they need it then the data scientists have proved their worth.
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