So, I’ve mentioned data analytics before and perhaps this title should have been ‘another step in a (slightly) different direction’, but it is what it is. Also, I’m not going to rehash any of my thoughts on academia (you can read about that here, here and a few mentions in some other posts).
I have also mentioned that I’m interested in getting into remote work in data analytics, or something of that nature. I have blogged about it, I have also posted about it (including here). Occasionally, I have also mentioned that I had been working on the ‘Google Data Analytics Professional Certificate‘.
Working with large amounts of data was not new to me (I’d worked with multiple census datasets during my PhD). But, learning coding like the R programming language and SQL was something brand new. I’d only dabbled in some HTML more than a decade ago.
Thanks to my disillusionment with academia (I’m only mentioning it) and my plans to be able to work remote (aka ‘digital nomad‘), I decided on this data analytics route because the demand has apparently been growing, it builds on my existing skills, it seems tangibly useful, and it has a large number of possible applications. I include the word ‘apparently’ because, while I’ve seen many job adverts, I’m yet to land an interview… I think I can, I know I can, etc…
Anyway, unsurprisingly, I have found that the more I learn, the more I want to learn – I have often said that I am passionate about lifelong learning (like here). Part of the aforementioned certificate is doing a case study and we were given a few options. I have done one of them and plan on doing the other options too… because I could do with the practice and I’m a nerd. 🤓
The video on the left is a first version and somewhat rough draft of what came out of that analysis.
As I said, I’m still trying to land an interview, let alone a job, but at least for now I’m learning a new skill I enjoy, so I can treat it as a bit of a hobby. But, seriously though, could you help a guy out with a job?😉