Uber Data Scientist Mock Interview
Practice 30 Uber Data Scientist interview questions covering experimentation, machine learning, and product analytics.
Question 17 of 30
Here at Uber, 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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William Swansen has worked in the employment assistance realm since 2007. He is an author, job search strategist, and career advisor who helps individuals worldwide and in various professions to find their ideal careers.
This is a Technical Question, which seeks to determine your technical capabilities and knowledge of data scientists' standard tools. By specifying these tools, the Uber interviewer is indicating that these are what Uber 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.
William Swansen has worked in the employment assistance realm since 2007. He is an author, job search strategist, and career advisor who helps individuals worldwide and in various professions to find their ideal careers.
"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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