Jul 19, 2016
(via https://www.youtube.com/watch?v=x68bRGEFyTw)
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(via https://www.youtube.com/watch?v=x68bRGEFyTw)
What I’m Working On: February
I didn’t start this project today, I’ve spent the last couple of months taking baby steps into the world of Data Science.
Here is what I’m up to right now:
One. I’m about to watch Lecture 7 of CS 109 (2013), Harvard’s Data Science course. So far it has been heavily focused on introducing different sorts of graphs, statistical models, and enough python to scrape data from web pages.
Two. I bought Doing Data Science by Cathy O’Neil and Rachel Schutt (just started), along with Data Science From Scratch by Joel Grus (haven’t started yet).
Three. I finished The Elements of Data Analytical Style by Jeff Leek, it’s sort of a MLA style-guide for Data Science. It’s good as a reference and as an introduction to what not to do.
Four. I’m taking a Code Academy course on Python, currently I’m on dictionaries and lists.
Finally,
Five. I’m starting to read The Art of Data Science by Roger Peng, which is available for pay-as-you-want from LeanPub.
Lots on the plate, and I plan to work through it all as quickly as I can manage.
I think what makes a good data scientist is the same thing that makes you a good [insert field here] scientist. In other words, a good data scientist is a good scientist.
Roger Peng on What makes a good data scientist.