Microsoft Data Scientist Mock Interview
Master 30 Microsoft Data Scientist interview questions covering machine learning, Azure, and statistical modeling.
Question 19 of 30
What is Data Cleansing and why is it important in Data Analysis?
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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.
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.
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.
"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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