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Thursday 30th August Sol 24
https://staffblogs.le.ac.uk/mars/2012/08/30/thursday-30th-august-sol-24/
Posted by jbridges in Mars Science Laboratory Blog on August 30, 2012 We are settled into a daily routine which centres around the data returns from Mars Odyssey and Mars Reconnaissance Orbiter.
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Data classification principles
https://le.ac.uk/ias/information-security/data-classification-principles
The University of Leicester follows data classification principles to assess the sensitivity of data and protect it accordingly.
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Air pollution to become worlds leading cause of premature death by 2050
https://le.ac.uk/news/2015/november/air-pollution-to-become-world2019s-leading-cause-of-premature-death-by-2050
Leading experts will be discussing prominent environmental issues - including how air pollution will become the world’s top environmental cause of premature death in the coming decades - at an event on Wednesday 25 November.
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Fundamentals of Data Science
https://le.ac.uk/modules/2026/ma3419
Module code: MA3419 Data science is the process of extracting reliable insights and conclusions from data.
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Fundamentals of Data Science
https://le.ac.uk/modules/2026/ma7419
Module code: MA7419 Data science is the process of extracting reliable insights and conclusions from data.
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Fundamentals of Data Science
https://le.ac.uk/modules/2025/ma3419
Module code: MA3419 Data science is the process of extracting reliable insights and conclusions from data.
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Fundamentals of Data Science
https://le.ac.uk/modules/2024/ma3419
Module code: MA3419 Data science is the process of extracting reliable insights and conclusions from data.
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Fundamentals of Data Science
https://le.ac.uk/modules/2024/ma7419
Module code: MA7419 Data science is the process of extracting reliable insights and conclusions from data.
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Fundamentals of Data Science
https://le.ac.uk/modules/2025/ma7419
Module code: MA7419 Data science is the process of extracting reliable insights and conclusions from data.
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Data as Culture
https://le.ac.uk/modules/2024/co7442
Module code: CO7442 Data science, like art and traditional sciences, offers a lens through which we can understand our world. It's a reciprocal process: data fuels new insights, while artistic techniques can illuminate the stories hidden within our data.