An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.
Data science attracts a variety of different backgrounds. From my professional experience, I’ve worked with colleagues who were once:
Nuclear Physicists
Post-docs researching Gravitational Waves
PhD’s in Computational Biology
Linguists
just to name a few.
It is wonderful to be able to meet such a diverse set of backgrounds and I have seen such a variety of minds lead to the growth of a creative and effective Data Science function.
However, I have also seen one big downside to this variety:
Everyone has had different levels of exposure to key Software Engineering concepts, resulting in a patchwork of coding skills.
As a result, I have seen work done by some data scientists that is brilliant, but is:
Unreadable — you have no idea what they are trying to do.
An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.
