20+ Resources I Use to Stay Up-to-Date with Data Science

Terence Shin
6 min readOct 5, 2022
Photo by Jonathan Chng on Unsplash

Things move VERY quickly in the world of data science. In my career alone (the past ~4 years), I’ve had to learn several new, industry-leading tools like Prophet, dbt, and Dash Plotly.

Being a data scientist means that you have to continuously learn new skills and tools to broaden your arsenal of tools and also keep up with industry leading platforms.

In this article, I wanted to share with you all of the resources and hidden gems that I use to stay up-to-date with data science! With that said, let’s dive into it.

Be sure to SUBSCRIBE here to never miss another article on data science guides, tricks and tips, life lessons, and more!

There are six main ways that I keep up with data science, and all of them help me keep up with data science in different ways:

  1. Data Science Platforms
  2. Learning Platforms
  3. Textbooks
  4. LinkedIn Influencers
  5. YouTube
  6. Conferences

Data Science Platforms

There are a few data science-specific platforms that I find really valuable, and were actually a huge contribution to my development.

Analytics Vidhya and Kaggle are particularly useful when I want a step-by-step guide on how to perform a data related task, whether it be building a time-series model or using DBSCAN for a clustering problem.

What’s nice about both is that they both have their own communities where you can ask questions and learn from other people’s code.

How I use Data Science Platforms to Learn

There’s a few ways that I use Data Science Platforms (Saturn Cloud, Analytics Vidhya, Kaggle) to learn:

  1. When I want to see example code for a particular topic, I’ll look at these resources. For example, when I wanted to know how to implement K-fold cross validation, I used these resources to see how others implemented it.
  2. I also use these platforms to learn new tricks and methods that other programmers use that I find valuable.
  3. Lastly, these platforms have big…