Introduction to Python and Python for Data AnalysisInfo Location Additional Items Contact More Info Course Information![]() Technological advancements have not only driven the digitisation of society and the emergence of novel socio-political issues, but have also resulted in significant developments in algorithms, computational power, and increasingly large datasets. This practical-based face to face session will be delivered over two days and will provide you with both the technical programming skills and understanding of data science techniques that you will need to research pre-existing and novel social-political and economic issues and the kind of transferable skills that are currently in demand in the job market. Specifically, it will introduce you to the Python programming language, assuming zero prior-experience, and give you the skills necessary to use it for data analysis. This training can be standalone or taken in conjunction with Web-scraping with Python and Introduction to text data with Python on 24th and 24th April 2025 This course covers:
By the end of this course participants will:
Computer workshops: All sessions requiring the use of a computer will take place in PC suites where you will have access to University of Exeter PCs. However, if you wish to bring your own laptop please ensure that the following is installed: Anaconda Python distribution: https://www.anaconda.com/download Target Audience: Beginners with no prior experience with coding or data analysis, or those who are familiar with one but want to learn the other. Payment using the Online Store can only be completed via Visa and Mastercard Credit/Debit Card or PayPal. AMEX is not accepted. Course CodeEXEIPPDA Course LeaderDr Lewys Brace
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Contact InformationHannah Grant Department Manager, SPSPA H.G.Grant@exeter.ac.uk Additional InformationPresenter: Dr Lewys Brace is a Senior Lecturer in Computational Social Science and Co-Director of the University of Exeter's Q-Step Centre for Computational Social Science (C2S2), where he specialises in data science, artificial intelligence, extremism, terrorism, cybercrime, security and Open-Source Intelligence (OSINT). His research currently focuses on online extremist radicalisation and the development of computational research methods for the social sciences and has appeared in journals such as Terrorism and Political Violence, Behavioral Sciences of Terrorism and Political Aggression, Studies in Conflict & Terrorism and Perspectives on Terrorism. He can be found on Twitter @Lew_Brace and Bluesky @lewysbrace.bsky.social |