How to Build a Competency in Areas That Interest You

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Julie: I feel like focused learning is super important for any field, but certainly for analytics. Mo: If you're just touching everything at surface level, I don't think that's right neither. Julie: And if you do want to specialise, the typical career path might not look the same. But as a generalist with a deep love of people who like tospecialise, it’s his strange, but it's, I mean, pick your poison, I guess. The last call involves going around the horn and sharing something we think might be of interest. We wrap up by talking about Beware a Culture of Busyness - an article written by Adam White in

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.