Domain Expertise For Data Science
As a simple illustration have a look at these groups of words for different industries.
Domain expertise for data science. Following the few posts that discuss what are the knowledge that someone who is interested to pursue a data science career overall mathematics data it management i shall now discuss more on what are the business knowledge domain knowledge that the data scientist should have some knowledge of. Others myself included argue that the engagement of the domain expert while extensive will need to be more iterative increasing in scope as domain experts learn to think more like data scientists. The technical aspects of the roles of data scientists are extremely transferable and so adaptation of domain knowledge takes place.
A data scientist who has domain expertise sufficient to understanding and acting successfully on a given business objective and who can talk the domain expert s language stands a much greater chance of developing a tool which will work properly and be more readily adopted within the organization. In software engineering it means the knowledge about the environment in which the target i e. We c an use the same definition in data science to say domain.
This data needs context and domain expertise applied to it before it is analysed to deliver valuable business insights and value. Fifo vs lifo is one of kirill s tips and hacks in order to acquire domain knowledge. 1 business process.
But says mike loughran cto for the uk and ireland at rockwell automation data alone is not a useful commodity. The domain knowledge could be operations related where you would leverage the tools to. Some argue that the role of the domain expert needs to be extensive in all stages of the design and implementation process.
Domain expertise is the knowledge and understanding of a particular field. Check it to learn more. 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.
This episode talks about the importance of domain knowledge in data science.