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If you’re interested in pursuing a career in data science then tt’s easy to see why. Not only is data science a cutting-edge field that allows you to make an important impact, both with within your company and on a global scale, it’s also one that’s growing at an astounding rate. As an exponentially expanding number of industries see the benefit of using analytical data to improve business practices, big data and data science career opportunities are exploding. In fact, employment for statisticians in data science related careers is projected to grow 33.8% from 2016 to 2026.
Data science related occupations are likely to enjoy excellent job prospects, as many companies report difficulties finding highly skilled workers. That means there’s more demand for data science professionals than there is supply, which is good news for data science students and professionals. As a result of this shortage, you’ll find that there is a wealth of different avenues that a data science career can take. While it’s always good to have options, it can sometimes be difficult to understand how these careers differ and what kinds of skillsets and educational backgrounds are required for each. This can present a challenge for those just starting out in the world of data science.
The goal of this resource is to introduce the different types of careers in the data science field and summarize what qualities a good candidate for these roles needs to possess.
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