While knowing statistics isn’t a formal or fundamental requirement of being a good data scientist, it can unlock additional value for understanding new ML concepts, improving your models, or taking a new approach to a project.
Definitions of key fundamental statistics and probability terms to get to know
A helpful overview of basic concepts that will come in handy for any data scientist
Relevant ways to apply statistics to data science, along with examples and Dataiku features that can help along the way
Insights from one of our in-house Dataiku data scientists, who is a formally trained statistician