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Geocomputation and Data Analysis with R

Please be aware that this course is now fully subscribed and we expect to run it again in Spring 2020. Please contact Kylie Norman if you would like to add your name to the waiting list. Run in conjunction with Leeds Digital Festival 2019, Geocomputation and Data...

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Introduction to R

Please be aware that this course is now fully subscribed and we expect to run it again in Autumn 2019. Please contact Kylie Norman if you would like to add your name to the waiting list. This half-day course, run in conjunction...

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Intro to Python for Data Analytics

  **In conjunction with Leeds Digital Festival 2019** This two-day course provides an introduction to Python programming with a focus on data analytics. The course will introduce some basics in Python programming such as data types, basic operations, data sequences and data structures, control flows, exceptions and...

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Data Science Engagement and Employability Conference

Leeds Data Science Society and Leeds Institute for Data Analytics (LIDA) are excited to announce Data SEEC – our first (free) conference for students and professionals, aimed at matching talented students with employers in a unique setting. Unlike traditional careers events, this event...

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LeedsOmics Research Symposium 2019

We are very pleased to announce the LeedsOmics Research Day 2019 on Monday 13th May 2019 at Woodhouse Suite, University House, University of Leeds. We have two wonderful keynote speakers lined up for you on the day, and we have ample opportunities for you to showcase your research to the community. There will also be plenty...

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Tableau Workshop

Please note that only emails ending .ac.uk will be taken into account for bookings on this course. This 1-day interactive course provides a practical introduction to data visualization with Tableau Desktop, an industry-leading visualization tool. You will learn how to create effective visualizations by avoiding...

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Summer School – Causal inference with observational data: the challenges and pitfalls

Please note this Summer School is now fully subscribed. If you would like to be added to the waiting list, please contact Kylie Norman. This five-day summer school offers state-of-the-art training in the analysis of observational data for causal inference. By exploring...

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September School – Causal inference with observational data: the challenges and pitfalls

This five-day School, run in collaboration with The Alan Turing Institute, offers state-of-the-art training in the analysis of observational data for causal inference. By exploring the philosophy and utility of directed acyclic graphs (DAGs), participants will learn to recognise and avoid a range of common pitfalls in the analysis...

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Spatial Analytics for Public Health Researchers

This 1 day course offers an introduction to spatial analytics in a public health context. As spatial data sets get larger, more sophisticated software needs to be harnessed for their analysis. R is now a widely used open source software platform for statistical analysis and is increasingly popular for those working with spatial...

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