If you want to work in tech, an understanding of these fields can be invaluable for data scientists, software engineers, machine learning engineers, and many other jobs.

If you’re interested in going into the business world, statistics and probability are essential for business analysts, market research analysts, risk analysts, and economists to understand global markets and identify likely business opportunities. After all, what company doesn’t need to either predict the future or understand the past? Like data science, these skills open the door to an incredibly wide range of career choices. Working in statistics and probability isn’t just about becoming a statistician or theoretical mathematician (although it can be).

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Thus, compelling data visualization capabilities as well as strong written and oral communication skills are essential to putting your insights into action.‎ Thus, computer literacy is also an essential skill for statisticians, and particularly familiarity with programs like Stata and SAS as well as the programming languages R and Python. Finally, all of that statistical analysis becomes much more useful for problem-solving if you are able to convey it effectively. While the core theories of statistics aren’t new, today’s statisticians rely on the power of sophisticated computer programs to deliver more powerful insights with these principles than ever before.

Being a statistician is a bit like being a detective - you need superb analytical skills to determine whether your data is statistically significant, properly interpret it, and test whether your resulting findings are meaningful. As a branch of mathematics, statistics requires high-level numeracy and quantitative skills as a foundation.

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