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.
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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:
- Data Science Platforms
- Learning Platforms
- LinkedIn Influencers
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
- 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.
- I also use these platforms to learn new tricks and methods that other programmers use that I find valuable.
- Lastly, these platforms have big…