Learning as a "data generalist"
Data generalism
One of the most common questions I get from students near the end of a data science course is "what next?". How do you keep learning once you have the basics, especially if you're a generalist?
Why I now call myself a "data generalist"
Data generalism
I've realised that pigeonholing myself as a data scientist, broad as that term is, doesn't work for me. Finding a good job title for myself is actually non-trivial. If you feel the same way, you may also be a "data generalist", and this post is for you.
About David
I'm a freelance data scientist, consultant, and educator with an MSc. in Data Science and a background in software and web development. I'm a generalist; my previous roles have been a range of data science, software development, and software architecting jobs.
Things I also do:
- I co-host the Half Stack Data Science podcast where we talk about the realities of data science in the business world
- I've written various articles and tutorials about data science
- I've given a selection of talks at large conferences and universities, all on similar topics of "real world data science"
- I occasionally stream some data science over on Twitch, where I take a vague project idea, a dataset, and try to come up with an answer in about an hour, explaining the code and thought process as I go.
Contact me
Please give me a brief idea of what you're looking for help with, and I'll get back to you very soon. If you're having trouble with the form below, you can also email me at hello@davidasboth.com