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Difference Between Analysts and Statisticians


DIFFERENCE BETWEEN ANALYSTS AND STATISTICIANS



In today’s digital landscape, data has become one of the biggest and most important assets for almost all organizations. Data can be fetched from anywhere and it’s actually transforming the way we live.
Statistics and analytics are two branches of data science.

Analysts specialize in exploring what’s in your data, statisticians focus more on inferring what’s beyond it.

Let’s have a look at basic analytics? Try googling the weather. Whenever you use a search engine, you’re doing basic analytics. You’re pulling up weather data and looking at it.



What expert analysts do? They’re all about taking a huge unexplored dataset and mining it for inspiration. Analysts are lightning-fast coders who can surf vast datasets quickly, they are data storytellers. Their mandate is to summarize interesting facts and to use data for inspiration. In some organizations those facts and that inspiration become input for human decision-makers.

Statisticians are specialists in coming to conclusions beyond your data safely — they are your best protection against fooling yourself in an uncertain world. They care deeply about whether the methods applied are right for the problem and they agonize over which inferences are valid from the information at hand. A perspective that helps leaders make important decisions in a risk-controlled manner. In other words, they use data to minimize the chance that you’ll come to an unwise conclusion.
Analytics helps you form hypotheses while statistics helps you test on them.

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