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Augmented Reality (AR) in the context of Data Science involves overlaying digital data and information onto the real world, enhancing human perception and interaction. It's about creating immersive experiences by blending virtual objects with physical environments, enabling users to visualize and interpret complex data in an intuitive and engaging way. AR technology can be used for various applications such as predictive analytics, machine learning, and artificial intelligence, making it a powerful tool for Data Scientists to uncover insights, identify patterns, and make data-driven decisions. By integrating AR with Data Science, we can bridge the gap between the digital and physical worlds, empowering users with actionable information in real-time.