Mo, you're sold the falsehood that there is a linear path and it's easy to follow. And then you go to get a job and you realize it's not. Yeah, I was very happy just to find something that used some of the training and things I did. Once I found analytics, I've stuck with it for like 18 years or so. So, you know, I don't plan to quit now. You need to respect that there's these different disciplines, even within analytics and their specialization.
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.