Uber Data Scientist Mock Interview
Practice 30 Uber Data Scientist interview questions covering experimentation, machine learning, and product analytics.
Question 19 of 30
What is Data Cleansing and why is it important in Data Analysis?
How to Answer
Example Answer
Community Answers
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 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.
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."
Write Your Answer
0 - Character Count
Unlock All 30 Uber, Inc. Questions
Master technical questions Uber uses to identify data-driven problem solvers.
Get StartedJump to Question