Every year, I like to refresh my advice about how I would go about learning data science from ground zero. The data domain is changing rapidly, and as my own knowledge grows, I think it is important to re-evaluate the approach that I would recommend.
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Starting off, I want to debunk the idea that you can “learn data science”. This implies that data science is a static subject that can be learned in its entirety. For better or for worse, data science is constantly evolving and growing. I don’t know a single person including myself, that could possibly know the whole field. Learning data science is a journey not a destination, and coming in with this mindset can make this process far more enjoyable for you.
First, I would start with a learning map. You need to plan your learning journey. Next, I would start learning python. You need to understand the basics here. After that, I highly recommend looking at other peoples projects and work. Finally, focus on data science projects to engrain new topics!
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