My name is Jeff Winchell and I live in Cambridge, MA. I am a dad, computational social scientist (formerly a data scientist), Harvard grad student, sporadic comedy writer, former racer (kind of an expensive hobby) and sometimes slam poet.
You can reach me at Jeff_Winchell@g.Harvard.Edu, on Skype at live:CompSocialSci or even by an actual phone call or a meeting for coffee. How non-virtual. 😉
Returning to the theme of the above graphic, I’ve taken 5 courses towards my master’s – Big Data Analytics, Introduction to Data Science, Deep Learning, Advanced Scientific Computing and Probabilistic Programming. This semester I am taking Advanced Python for Data Science, Advanced Topics in Data Science and auditing two more courses Advanced Quantitative Research Methodology (Political Science) and Computational Analysis (Sociology). I had taken about 70 classes at Northwestern by the time I got my bachelor’s degree in math.
I’ve also completed 71 MOOCs over the past 6 years (and continue to take them concurrent with my master’s degree work). Here’s a list of my favorites (data science related courses listed first). In my view the first class in this list should be part of the required curriculum before taking any machine learning or deep learning class anywhere.