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Data Scientist @ KOHO | Top 1000 Writer on Medium | MSc, MBA |

Fully understand what a Marketing Mix Model is and how to use one

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Marketing was always considered more of an art than a science. But with the emergence of online marketing and big data, marketing is more mathematical and methodical than ever. In fact, one of the biggest areas of opportunities for data science and machine learning applications is marketing!

This article is going to focus on an extremely prevalent and powerful marketing science technique called Marketing Mix Modeling. This article will cover what it is, why it’s so useful, how to build one in Python, and most importantly, how to interpret it.

What is a Marketing Mix Model?

A Marketing Mix Model is a modeling technique used to…

Focusing on the important concepts for data scientists.

SQL is the universal language in the data world and is the most important skill to nail down as a data professional.

The reason SQL is so important is that it is the main skill that is required during the data wrangling phase. A lot of data exploration, data manipulation, pipeline development, and dashboard creation is done through SQL.

What separates great data scientists from good data scientists is that great data scientists can wrangle data as much as the capabilities of SQL allow. …

July 4, 2021.

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I’m starting a publication and I have no idea where I’m going with it, but for my first article, I wanted to share a letter written by the Portuguese poet, Fernando Pessoa (1888–1935). I have read this several times and still have not extracted every ounce of meaning and value out of it. I will let the message speak for itself and I hope you enjoy it as much as I did.

You can have flaws, be anxious, and ever angry, but do not forget that your life is the greatest enterprise in the world. …

Develop your skills and get valuable experience

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I’m sure you’ve experienced the dreadful loop,

“I can’t get a job because I don’t have experience because I can’t get a job because I don’t have experience…”

On top of that, the pandemic has only made the job market more competitive than it already is. So how can you get any sort of data-related experience and stand out from the rest of the crowd?

In this article, I’m going to go through five productive and valuable ways that you can get real data science experience. …

SQL tips, World Class Experimentation, and more.

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Hello! Welcome to my first monthly curation of top data science resources that I’ve come across this month. I wanted to do something like a newsletter, but not as intense and something that gives immediate value.

Every month, I’m going to share with you some of the best reads that I’ve come across and group them in themes/topics — This month, I wanted to share with you some articles on SQL tricks and tips, world-class experimentation platforms, and a free resource with over 15 graduate courses on various statistics topics.

With that said, I hope you enjoy and please leave…

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First, I’m not saying that linear regression is better than deep learning.

Second, if you know that you’re specifically interested in deep learning-related applications like computer vision, image recognition, or speech recognition, this article is probably less relevant to you.

But for everyone else, I want to give my thoughts on why I think that you’re better off learning regression analysis over deep learning. Why? Because time is a limited resource and how you allocate your time will determine how far you in your learning journey.

And so, I’m going to give my two cents on why I think you…

What it is, Where it comes from, Why it’s bad, and How to deal with it.

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Over the next few articles, I want to write about some really powerful topics related to regression analysis. For the longest time, I didn’t think there was much to linear regression — I simply thought it was the simplest machine learning model that was nothing more than a line of best fit.

However, as I continue to learn more about regression analysis and what it has to offer, I’m realizing that there’s a lot of powerful tools and tricks that most people don’t know about.

And so, to start it off, I wanted to talk about multicollinearity.

Intuitive explanations of the most important probability distributions

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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…

How I grew to 20,000 followers in just over a year

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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…

Terence Shin

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