Good morning, friends! ☀️
This newsletter is reaching you from Taormina, Sicily, where I am on holiday for a week! 🇮🇹
This edition is a special one, as it is the first anniversary of Dishing The Data! 🎉
This means I have been writing this newsletter weekly for a year. It may not seem like a big deal, but finding ideas and time to write every week has sometimes been difficult.
The main reason for my consistency is that I try to make writing this newsletter as enjoyable as possible. I started off writing about AI news primarily and then pivoted after a month or two to my personal experiences as a data scientist, as that’s where I think I provide more value.
Some of you may have noticed that the topics are pretty all over the place. It's not strictly a data science-focused newsletter; I cover a range of areas like tech, AI, finance, and productivity. But this keeps it fun for me.
One of the most successful online writers, Nicolas Cole, said in of his blog posts:
To cut to the chase: there are only 2 types of newsletters that “work.”
Short & Curated: Newsletters in a fast-moving category that compress a ton of information on a specific subject into a quick read.
Long & Original Thinking: Newsletters in a dense, thoughtful category that provide in-depth insight, analysis, and unique information on a specific subject.
Everything else falls into “Hey! Subscribe to my fun newsletter where I share my learnings along the way!” territory.
And, to be blunt: nobody reads these.
To be honest, my newsletter probably does fall into “Hey! Subscribe to my fun newsletter where I share my learnings along the way!” territory.
But I am ok with that.
My blog is where I do technical deep dives into machine learning, statistics, and coding, and my YouTube channel is where I share my advice on how to break into data science. So, I am providing a lot of value on several platforms.
As I have said before, this newsletter is like an online journal where I can express myself and my thoughts in a different way. Of course, I try to make it as useful as possible, but the sole goal is not to optimise it to the point where it stops being fun.
Despite all this, we have grown to over 2,300 subscribers this year, something truly special. I find it astonishing that a couple of thousand people want to hear my thoughts every week. So, even if you have just read one email (make it two now!), thank you!
As for the future, it looks much the same. Continue writing every week, providing insight into my life as a data scientist and a low-rank content creator. If the lessons and thoughts I share here benefit at least one person, I am more than happy.
Weekly Favourites ❤️
✍️ Article — 6 Software Engineering Templates I Wish I Had Sooner. I read Ryan Peterman’s Developing Dev newsletter every single week. Even though the target audience is software engineers, much of the advice is transferrable to data scientists. I mainly refer to this template post when drafting any internal one-pagers.
🎬 YouTube — Agatha Kang. Agatha shares advice on how to break into data analytics, which I would really recommend if you're looking to get into this field!
🔨 Tool — ChatGPT Mac App. I've been using ChatGPT's Mac desktop app for a couple of weeks now. It truly reduces friction, as getting the app up is quicker than going to my browser.
(PS: Some links are affiliate links that I get a kickback from with no extra cost to you 😎)
My Latest Content 🎬
You can reach me on:
LinkedIn, X (Twitter), or Instagram.
My YouTube Channel and Medium Blog to learn technical data science and machine learning concepts!
💡 If you are interested in sponsoring this newsletter see here.