The past decade might now have ended, and the next one might not look that promising, but the future is certainly bright for Data Science. Data Science is still certainly a hot career, and machine-learning technologies have never been more exciting! As a Data Scientist, one of the most important questions you are going to need to answer in your initial approach to solve a problem is what language should you actually use to get your desired result.
In the past few years, we have really seen a boom in the ecosystem for Data Science work in various languages. That being said, getting into the field or taking the next step in language can be quite difficult for many different programmers. This is especially true in the Data Science field, where things are constantly exciting. Of course, this is what makes Data Science fun; there is constantly something new to check out and learn. That being said, ideally there might be a few new languages you could check out from this list of languages I think are valuable and may become more valuable within the next year.
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