How to Teach Young Analysts How to Think

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Moises Navarrette: I feel like you're trying to teach someone younger than you like the way you're thinking not the steps you're taking. He says personality has a lot to do with this because experience and intuition are these irreplaceable attributes that people can bring to something like this. "I don't think other people think about problems as dimensional objects in, you know what I mean? I just don't think people even brains work like that," he said.

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.