Every single week of the year, the SuperDataScience Podcast team and I bring you two episodes:
Odd-numbered episodes air on Tuesdays. These Tuesday episodes feature guests that are directly related to the data science industry and typically are about an hour long but sometimes stretch to two hours.
Even-numbered episodes like this one, which is #612, are called “Five-Minute Friday” episodes. Every once and a while we’ve had guests — for example, for special episodes #500 and #600 we enjoyed relaxing, centering guided meditation sessions led by yoga nidra instructors — but for the most part, Five-Minute Fridays feature me solo. And, of course, the idea with these episodes is that they’re only about five minutes long.
Well, going forward, we are still going to have short, five-minute-ish episodes on Friday that feature me solo, but we will increasingly be interspersing in inspiring guests. And I won’t be making an effort to have these Friday guest episodes be anywhere near five minutes long — to start, I’m thinking of having them typically be 20 to 30 minutes long, but we’ll see how it goes with the guests and what the reception is like from you.
Now, despite some Friday episodes having guests and becoming longer, what won’t change is that Fridays will continue to be reserved for topics that are not 100% data science-specific but that I nevertheless think you’ll find fascinating. For example, Five-Minute Friday episodes have historically often covered topics like emerging technologies, the future of society, productivity, general career guidance, and life philosophies. So, going forward, you can expect that Friday guests — when we have them on — will be people like authors, academics, and other experts who specialize in these broader topic areas. For example, I’m currently lining up Friday guests on topics like thriving in an age of information overload, how to avoid burnout at work, and how to cultivate a growth mindset.
I hope that you’ll find this developing format change as exciting as I think it is. As we experiment with these episodes, I’ll look forward to your feedback on how it’s going — how you like it, what’s working about it, or what could be improved about it. As always, the best way to get feedback to me directly is to follow me on LinkedIn or Twitter and then tag me in a post about it — or you can add comments to the video versions of the podcast that we post on the SuperDataScience Podcast YouTube channel. Via any of those mechanisms, for the foreseeable future I’ll be looking out for your feedback and your feedback truly is pivotal to the future direction of the show. I love to receive it.
I hope this new phase of the SuperDataScience Podcast sounds like it’ll be a unilaterally positive development like I think it will be. Look out for some fascinating guests on Fridays — perhaps as soon as next week.