Reproducible Analysis: Python for Social Scientists

The Software Sustainability Institute (www.software.ac.uk) is an EPSRC, AHRC, BBSRC, ESRC, NERC, MRC and STFC funded national facility that cultivates world-class research with software.We help people build better software, and we work with researchers, developers, funders and infrastructure providers to identify key issues and best practice in research software.

The Software Sustainability Institute

A 2-day online workshop for UK students and early career researchers to learn Python coding skills necessary for research.

Research Software Practices in the Social Sciences

This project, organised and hosted by the Software Sustainability Institute, University of Edinburgh, promotes research software best practices in social sciences through various outreach activities, from formal workshops and talks to informal meetings.

Python is one of the most widely used programming languages across various fields, particularly excelling in data analysis and visualization. Following the success of our previous Python workshop, which introduced Python as both a programming language and a valuable analytical tool in social science research, we are excited to offer an expanded, two-day workshop this February. This workshop will provide participants with a practical introduction to Python, covering the essential elements of a typical Python workflow. Topics will include exploring datasets, performing basic summary statistics, creating visualizations, and exporting results. Participants will have the opportunity to follow along with the instructor’s demonstrations and engage in hands-on practice, both individually and in groups, through simple exercises designed to build confidence in using Python. Certificates of completion will be awarded to all participants. <ul><li>Our Instructor</li></ul>The workshop will be led by Dr Danai Korre, a lecturer in computer science at the School of Computer Science and Technology, University of Bedfordshire. Dr. Korre is an experienced researcher in computer science with an extensive background in teaching various subjects, particularly programming languages for data analysis.To provide additional support during individual and group exercises, two PhD students from the University of Edinburgh Medical School, Bartłomiej Chybowski and Diego Chillón, will assist attendees throughout the workshop. <ul><li>When &amp; where</li></ul>The workshop will take place online via Zoom on Monday 24 and Tuesday 25 February, from 9:30 till 14:30 (UK time). Details on how to join the call will be provided about two weeks before the workshop. <ul><li>Requirements</li></ul>While open to everyone, this workshop is intended primarily for UK audience (students, researchers and employees within the social sciences).We will be using Zoom for this workshop. <a href="https://zoom.us/download" title="https://zoom.us/download" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">Installing Zoom</a> is not required as it can run from your browser. However, we suggest doing so to ensure you have an access to all its functionalities during the workshop.No prior knowledge of Python is needed to participate; however, installing Anaconda Navigator is required to take the most out of the workshop, especially to participate in the exercises. It can be downloaded from this <a href="https://www.anaconda.com/download/success" title="https://www.anaconda.com/download/success" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">link</a>, with the installation process best explained in the YT video <a href="https://www.youtube.com/watch?v=xxQ0mzZ8UvA&amp;t=27s" title="https://www.youtube.com/watch?v=xxQ0mzZ8UvA&amp;t=27s" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">here</a>. The SSI team will help with possible installation issues on your personal or workplace device. There will be open drop-in sessions hosted a week before the workshop. <ul><li>Certificates</li></ul>Certificates of attendance will be issued to those attending this workshop. Please input valid first name and surname during the registration, to simplify the task of issuing the certificate and ensuring you will obtain it within the next week after the workshop. <ul><li>Further Questions</li></ul>Please contact Andrzej Romaniuk (andrzej.romaniuk@ed.ac.uk) for any questions related to this and upcoming workshops.

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Reproducible Analysis: Python for Social Scientists

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Reproducible Analysis: Python for Social Scientists

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