![]() When we talk about databases, we mean relational databases and tools made for handling them. That way, they’ll be not only the database end-users but also its creators. Not only that, but data scientists will often need to create their own databases (or, at least, participate in their design). ![]() Data scientists need this skill so they can be independent in getting the data they need for the further steps required by their jobs. Even for that, they need to understand what databases are, which data is there in the databases they use, how the data is organized, and what it looks like. In their work, data scientists are usually required to use databases. To design a database means going through steps that will result in creating the logical and physical data model, then implementing them, and, later, maintaining them. Given the name data science, one can safely say that data science has something to do with data, right? And if it has something to do with data, it certainly has something to do with databases.ĭatabases as a collection of structured and organized data are the basis for anyone wanting a career in data science. We’re going to explain each of these data scientist skills and how they’re used in data science.
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