This is the final part in my series on going from PhD to Data Science (parts I and II). As previously mentioned, while I was demoing my Insight project at companies, I also spent a good bit of time studying for interviews. The technical areas of study for interviews can be largely grouped as Computer Science (CS) Machine Learning (ML) Statistics SQL I’ll first review some resources for these areas of study then talk about interviews.| www.ethanrosenthal.com
The internet is awash with posts by former PhD students who have succesfully transitioned into data scientist roles in industry (see here, here, here, and tangentially here). I loved reading these posts while studying for job interviews because I felt like the more I saw examples of sucessful transitions, the more likely it seemed that such feats were actually achievable. I am going to try to touch on many of the aspects of leaving academia for data science while trying to limit the length of...| www.ethanrosenthal.com
It seems like summer music festivals get more and more popular every year. I guess this could be the subject of its own post, but let’s stick with my personal anecdotal evidence for the time being. I remember only a handful of music festivals in the U.S. when I was in high school - Bonnaroo, All Good, 10,000 Lakes, and Coachella. I am sure that there were others, but it was nowhere near as ubiquitous as present day.| www.ethanrosenthal.com