QUESTION 19 OF 30

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

Technical questions like this are straightforward ways for the Microsoft interviewer to explore and confirm your technical competencies related to the position they are interviewing you for. Your preparation for an interview with Microsoft 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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Microsoft Data Scientist Mock Interview

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

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