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In this tutorial, the focus is on removing duplicates from data, a common task and interview question for data or financial analyst roles. The presenter will demonstrate three methods for duplicate removal, emphasizing the importance of understanding their advantages and disadvantages, as they may yield different results. An example table containing sales agent, region, and sales value is used to illustrate duplicates. It clarifies that rows with differing sales values are not considered duplicates, while identical rows are. The goal is to retain only one occurrence of each duplicate entry in the final result.