QUESTION 19 OF 30

What is Data Cleansing and why is it important in Data Analysis?

Technical questions like this one are straightforward ways for the Uber interviewer to explore and confirm your technical competencies related to the position for which they are interviewing you. Your preparation for an interview with Uber should include researching and practicing technical questions, in addition to general and behavioral questions. Always answer technical questions succinctly, without embellishment or additional information.

"Data cleansing is the process of ensuring that data obtained from a wide variety of sources is suitable for analysis. It involves a high-level review of the data set, detecting any anomalies or inaccuracies, and correcting these to ensure the data is correct and accurate. It can also be used to eliminate data components that are irrelevant to the analysis being performed."

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Uber Data Scientist Mock Interview

What is Data Cleansing and why is it important in Data Analysis?

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30 Uber, Inc. Interview Questions & Answers

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