Sustainability


Sustainability in Data Science refers to the responsible use of data and technology to ensure long-term viability and success. This includes ethical considerations such as privacy, security, and fairness in data collection, analysis, and application. It also involves the development of sustainable models for data storage, processing, and management that minimize environmental impact and resource consumption. Additionally, sustainability in Data Science involves the creation of solutions that address social and environmental challenges, such as climate change, resource depletion, and social inequality, through the use of data-driven insights and technologies.


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