I thought it might be fun to maybe just share a little bit about our different backgrounds. I don't know if somebody wants to go first, but I will cease talking and see who starts. All right. My background will start after high school. That's a good place to start, right? Um, so he ended up going to college to actually play volleyball. He started off as chemical engineering because he was convinced that his science was what he wanted to do from high school. And then he pivoted fully to just math. For the record, my jaw has dropped to the floor hearing this, but carry on.
There are only so many hours in a day and only so many days in a year. Logically, then, the best way to grow a career as a data worker is to spend as many hours as possible doing focused data work, right? Well… probably not. In this episode, we dove into generalization versus specialization — what does that even mean, and how should we think about balancing between the two, and how can interests and activities outside of the data work itself actually make us better analysts? Bonus activity: listen for the hosts' overt trolling of Tim to see if they can get him to come off mute in his role as associate producer for the episode. For complete show notes, including links to items mentioned in this episode and a transcript of the show, visit the show page.