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## Plan for this Blog
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Here begins the documentation of my learning progress with regards to data science. I use the term data science broadly, and intend it to encompass data analytics, data engineering, statistics, and programming. I have varying experience in these subfields and will undoubtedly narrow my scope as I further my learning. This post will provide a bit of context about my background and experience, but the rest of my posts will be short and concise, with the only goals being to document my progress and thus keep myself accountable.
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## My Story
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I have been passionate about math and science since high school, but never really knew exactly where my interest and talent in these subjects would take me. I studied engineering in university and explored various different fields in my work experience. Although I had always been interested in using data to make predictions or decisions, I never committed to pursuing data science as the focus of my career - until now. What drove me is the fact that it is a constantly evolving field that forces you to constantly be learning new concepts. This is what was missing from the other fields I worked in and led me to get bored at my past positions.
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## My Data Experience
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It has now been a few months since I quit my job to pursue learning data science full-time. In that time, I have completed a few online courses and a side project, but I have perhaps spent too much time planning my learning journey and researching the ideal resources. I will outline what I have completed so far and intend to greatly ramp up the intensity of my learning, with this blog helping to keep me accountable.
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