a.rb

frequently asked question:

Q: I would like to ask your advice about preparing for a role in data science

A:

my advice would be to put together a portfolio of projects, on GitHub, 
evidencing that you know how to

- get data (e.g., via wget/curl)
- scrub data (choose and remove "outliers")
- model using a variety of approaches (supervised, unsupervised, exploratory) in python or possibly R (usually an employer will prefer one or the other, with more and more employers in my experience preferring python)
- write a coherent description of what you learned, what assumptions you made on the way, and how you chose the approach you took.