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Spatial Modelling for Retail Analytics

This one-day course introduces participants to sophisticated spatial analysis and spatial modelling approaches that can be used to understand retail sector dynamics. We focus on the analysis of complex interactions between retail demand (consumers) and the retail supply side (retail stores). The tools that we introduce are applied...

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Data quality and causal inference in Learning Health System: some challenges for developing reliable algorithms in an imperfect world

  The Leeds Institute for Data Analytics is pleased to present the next seminar in our series showcasing data analytics. The seminar will be held in 9.58b, Worsley Building. Abstract Globally, health systems are increasingly rich in data and starved of skilled professionals. “Learning Health Systems”...

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Introduction to ArcGIS

This 1 day course provides an introduction to Geographical Information Systems (GIS) using ESRI’s ArcGIS  software. It provides participants with the opportunity to familiarise themselves with using and navigating the software, as well as focusing on the skills of data entry, data manipulation, editing, analysis and mapping....

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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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Introduction to QGIS

This 1 day interactive course provides a practical introduction to QGIS; a free, open-source Geographic Information System. You will learn the principles underpinning vector-based geographic data analysis and learn to undertake tasks such as sourcing, loading and interrogating data; creating professional map outputs, preparing...

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Explore locally – understand globally: Sublinear time algorithms for problems on large sparse data sets.

The Leeds Institute for Data Analytics is pleased to present the next seminar in our series showcasing data analytics. This seminar will be held in 9.59, Worsley building. Abstract In classical complexity theory, PTIME / NP marks the dividing line between tractability and intractability. Nowadays,...

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Transport Data Science with R

  This course teaches two skill-sets that are fundamental in modern transport research: programming and data analytics. Combining these enables powerful transport planning and analysis workflows for tackling a wide range of problems, including: How to find, download and import a range of transport datasets ...

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Geocomputation and Data Analysis with R

The aim of Geocomputation and Data Analysis with R is to get you up-to-speed with high performance geographic processing, analysis, visualisation and modelling capabilities from the command-line. The course will be delivered in R, a statistical programming language popular in academia, industry and, increasingly, the public...

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Introduction to R

This half-day course aims to provide you with an introduction to the analytical programming language R. The course will focus on data pre-processing and visualisation, two of the key steps in understanding and generating insights from data. During the course you will learn about the benefits of R, how R handles different data...

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Summer School – Causal Inference with Observational Data: the challenges and pitfalls

Application deadline: 28th June 2019 (or when all places are filled) This five-day summer school 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...

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