To make your data science career a reality, it is essential to have a plan of action. In this post, I outline my 5 keys steps for creating a plan that will help you see results!
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In this four part series on how to learn data science, I previously outlined the dimensions of data science and provided resources for learning data science. However, as previously mentioned, the best way to learn data science is to work through a whole problem from beginning to end.
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In a previous post I outlined the dimensions of data science and provided a checklist for the skills needed in each of the four areas. In order to help you navigate these dimensions and create your own learning journey, I’ve compiled a list of my favorite books, articles, and classes for each of these areas along with some general tool recommendations.
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One of the most common questions I get asked is, “what skills do I need to be a data scientist?”. To help with this question I wanted level set on what I believe are the core competencies of data science and break down these dimensions into a format that could be used as a checklist to self evaluate yourself for your learning journey.
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Working in the world of data, humility is usually the last thing I think about. I’m not a proud person by normal standards, you won’t find me shouting in meetings when I don’t get my way, or telling people how much more I know than them. However, it’s recently come to my attention that I need a dose of humility, especially in my work with data.
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