QUESTION 17 OF 30

Here at Microsoft, we use several programming languages to create our software. Can you compare SAS, R, and Python programming tools and describe their use in Data Analytics?

This is a Technical Question, which seeks to determine your technical capabilities and knowledge of data scientists' common tools. By specifying these tools, the Microsoft interviewer is indicating that these are what Microsoft uses and expects you to be competent in. You should compare these and state their purpose in analyzing data, even if you don't regularly use them.

"SAS, R, and Python are probably the most commonly used tools for data analytics. SAS has a wide array of functions, a user-friendly graphical interface, and strong reporting features. R's strength is that it is an open-sourced tool and is widely used in academic and research environments. Python is also an open-sourced product but is more widely used and supported. It is easy to learn and interfaces well with other tools. The best part about Python is its large portfolio of libraries and modules."

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Microsoft Data Scientist Mock Interview

Here at Microsoft, we use several programming languages to create our software. Can you compare SAS, R, and Python programming tools and describe their use in Data Analytics?

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