Data Philosophy
A series on learning and dissecting fundamental topics relevant to data intelligence
I work in a Data Analytics & Insights unit, in my Meetup profile I state that ”I try to turn data into insights” and during a day I often shout out that ”we need to create (actionable) insights and be data-driven” — but what does this actually mean?
This series of blog entries is an attempt to define the very basics of data science, statistics, and machine learning. They are just the basics, but having a clear understanding of them is the foundation of a data-driven culture.
The blog series is my way to learn and dissect certain topics, it shows my knowledge to a certain point of time. Things might be wrong, opinions might change. I have an idea, where this series should lead to — that the common denominator is causality — but let’s see.
Blog posts in this series:
