Assertion: scientist's data | /r/HasProperty | structured
Facets:
value: mostly
type: DEGREE
value: traditionally
type: OTHER
Source sentences:
text: For doing this, a data scientist can leverage both structured and unstructured data.
text: Once data is organized and stored in databases, we can finally begin to derive value from it by finding patterns within the data
text: Some data scientists get their foot in the door working as entry-level data analysts, extracting structured data from MySQL databases or CRM systems, developing basic visualizations in Tableau or analyzing A/B test results.
text: Traditionally, the data that we had was mostly structured and small in size, which could be analyzed by using the simple BI tools.
text: Once data is organized and stored in databases, we can finally begin to derive value from it by finding patterns within the data Building Training Sets & Test Sets: Once we have a decent amount of data, we need to split it into the training set and the test set.