Probability distributions were so daunting when I first saw them, partly because there are so many of them and they all have such unfamiliar names.
Fast forward to today and I realized that they’re actually very simple concepts to understand when you strip away all of the math behind them, and that’s exactly what we’re going to do today.
Rather than getting into the mathematical side of things, I’m going to conceptually go over what I believe are the most fundamental and essential probability distributions.
By the end of this article, you’ll not only learn about several probability distributions, but…
At the beginning of 2020, I simply used Medium as a “medium” for documenting my learnings for data science on a weekly basis. I didn’t even know what Medium was at the time — I honestly thought it was an alternative to WordPress.
Fast forward to today and I’m now approaching 25,000 followers with almost 4,000,000 article views. As well, Medium now makes up almost 25% of my total income each year.
In this article, I want to share my secrets for how I built my data science blog and my follower base to what it is today. Keep in…
It’s been just over a year since I started writing on Medium.
I’ll be honest, I didn’t even know what Medium was at the time. I thought it was like WordPress, and I was just finding a “medium” to document my learnings in data science.
Fast forward to where I am now, and I’m now officially a data scientist, and I also reaped other benefits like doubling my income. I’ll be honest, there wasn’t really any secret to achieving this aside from a bit of luck and a lot of hard work.
This article serves as more of a reflection…
An in-depth analysis of what Medium statistics are indicative of how much money your articles will make.
- Keep scrolling if you want to jump straight to the insights -
I’ve been wanting to do this for a long time now, mainly for my own understanding, but I’m sure that many of you also wonder how Medium calculates earnings. I’m sure many of you also wonder what statistics are actually relevant in determining earnings.
Before this, I’ve read a lot of articles claiming that they’ve discovered the secret formula to determining earnings and then proceeded to claim that read ratio…
At the beginning of 2018, I really wanted to be a data scientist. I thought that the title sounded prestigious, I thought that building “machine learning models” sounded really neat, and it was a hot career to get into.
If any of the points above resonated with you, then I encourage you to keep reading.
I frequently get asked about how one can make a career switch into data science from something completely unrelated, like accounting or chemical engineering.
I’ve put a lot of thought into this question. One, because this is what I used to ask myself when I…
As Data Science continues to grow and develop, it’s only natural for new tools to emerge, especially considering the fact that data science had some significant barriers to entry in the past.
In this article, I wanted to go over nine libraries that I’ve come across in the past year that are game changers. These libraries have been incredibly useful in my data science journey and I wanted to share them with you in hopes that it’ll help you with your journey too!
The following libraries are broken down into three categories:
When I was applying to Data Science jobs, I noticed that there was a need for a comprehensive statistics and probability cheat sheet that goes beyond the very fundamentals of statistics (like mean/median/mode).
I just want to say that whether you choose data science or data engineering should ultimately depend on your interests and where your passion lies. However, if you’re sitting on the fence, unsure of which to choose because they are of equal interest, then keep reading!
Data science has been a hot topic for a while, but a new king of the jungle has arrived — data engineers. In this article, I’m going to share with you several reasons why you might want to consider pursuing data engineering over data science.
Note that this IS an opinionated article and take…
An in-depth analysis of the most in-demand skills from webscraping over 15,000 Data Scientist job postings.
I just wanted to start off by saying that this is heavily inspired by Jeff Hale’s articles that he wrote back in 2018/2019. I’m writing this simply because I wanted to get a more up-to-date analysis of what skills are in demand today, and I’m sharing this because I’m assuming that there are people out there that also want to see an updated version of the most in-demand skills for data scientists in 2021.
Take what you want from this analysis — it’s obvious…