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Safeguarding Sensitive Information: Navigating the Complexities of Data Privacy in Data Science

Safeguarding Sensitive Information: Navigating the Complexities of Data Privacy in Data Science

In today's digital age, more data is being generated than ever before. From social media posts to online transactions, personal information of individuals is constantly being collected and stored. As data science continues to advance, businesses are relying more on data-driven insights to guide their decisions. However, this poses a significant threat to data privacy and raises several ethical concerns.

Matthew Giuliano

Data, Visualizer

Date
3 min read

Friday, May 26, 2023