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Ïã¸ÛÁùºÏ²ÊÖÐÌØÍø Social Data Institute

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Study

There is a wealth of social data science study taking place across Ïã¸ÛÁùºÏ²ÊÖÐÌØÍø. The Social Data Institute will lead on joined up social data science teaching at Ïã¸ÛÁùºÏ²ÊÖÐÌØÍø, maximising teaching efficiencies and developing a strong pipeline of skilled social data scientists.
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Social Data Science (Q-Step)

The Social Data Science (Q-Step) programmes at Ïã¸ÛÁùºÏ²ÊÖÐÌØÍø are interdisciplinary, providing social science undergraduates with state of the art training in social data science, through courses in quantitative research methods, data analysis and visualization.  Students join the Social Data Science (Q-Step) programmes in Geography, Political Science, Population Health Sciences and Social Sciences.

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Other undergraduate modules

Outside of the Social Data Science (Q-Step) Programme, SODA organises two innovative undergraduate modules that are available to students across Ïã¸ÛÁùºÏ²ÊÖÐÌØÍø’s Faculty of Social and Historical Sciences. One is an introductory module designed to introduce data science to students who have little or no background in mathematics or statistics. The other is an advanced module using python to explore techniques of machine learning.

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CPD Courses

Our Continuing Professional Development (CPD) courses are taught by Ïã¸ÛÁùºÏ²ÊÖÐÌØÍø’s leading experts in data science and are open to anyone wishing to expand their knowledge of how to use data.

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Summer school

Each year we run a series of free short courses in the summer term, lasting 2-5 days, for Ïã¸ÛÁùºÏ²ÊÖÐÌØÍø undergraduate and PhD students who want to gain new skills in social data science. These will be advertised to students by departments. The selection may change each year; below we offer a selection of the courses that we have offered recently.