Most data science work involves cleaning and preparing data. Interview questions on this topic test how well you handle missing values, normalize data, encode categories, and remove outliers. Employers also want to see if you know how to automate these steps in Python using pipelines. Demonstrating your ability to prepare messy datasets for analysis shows practical skills that matter.... https://www.scholarhat.com/tutorial/datascience/data-science-interview-questions-and-answers
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