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July 2017

Advanced Modelling Strategies: challenges and pitfalls in robust causal inference with observational data

17th July 2017 @ 9:00 am - 20th July 2017 @ 5:00 pm
Leeds Institute for Data Analytics, University of Leeds
Leeds, LS2 9JT United Kingdom
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  **Please note that this course is now full** This four day summer school, supported by SSM, is designed to give an introduction to the common pitfalls and challenges in statistical multivariable regression modelling of observational data. This school is run by Prof Mark S Gilthorpe (Medicine, Leeds) with input from Dr Peter WG Tennant (Healthcare, Leeds) and Dr George TH Ellison (Medicine, Leeds) and is based on materials prepared in conjunction with Dr Johannes Textor (Radboud University Medical Center,…

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Introduction to QGIS: Understanding and Presenting Spatial Data – London

19th July 2017 @ 10:00 am - 4:30 pm
University College London, Room G22, Pearson Building, Gower Street
London, WC1E6BT United Kingdom
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We are pleased to offer you this short course jointly organised by the Administrative Data Research Centre for England (ADRC-E) and Consumer Data Research Centre (CDRC). Please note this course can be taken as a one-day course, or can also be taken in conjunction with other two one-day courses on 20 July and 21 July 2017. This course will introduce spatial data and show you how to import and display spatial data with the free open source GIS program QGIS.…

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Introduction to Spatial Data & Using R as a GIS – London

20th July 2017 @ 10:00 am - 4:30 pm
University College London, Room G22, Pearson Building, Gower Street
London, WC1E6BT United Kingdom
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We are pleased to offer you this short course jointly organised by the Administrative Data Research Centre for England (ADRC-E) and the Consumer Data Research Centre (CDRC). Please note this course can be taken as a one-day course, or can also be taken in conjunction with other two one-day courses on 19 July and 21 July 2017. The course will cover an introduction to R, how to load and manage spatial data and how to create maps using R and…

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Confident Spatial Analysis – London

21st July 2017 @ 10:00 am - 4:30 pm
University College London, Room G22, Pearson Building, Gower Street
London, WC1E6BT United Kingdom
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We are pleased to offer you this short course jointly organised by the Administrative Data Research Centre for England (ADRC-E) and the Consumer Data Research Centre (CDRC). In this course we will cover how to prepare and analyse spatial data in RStudio & GeoDa. We will use RStudio to perform spatial overlay techniques (such as union, intersection and buffers) to combine different spatial data layers to support a spatial analysis decision. We will also use RStudio and GeoDa to explore…

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September 2017

An Introduction to Small Area Classification

12th September 2017 @ 9:30 am - 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Leeds, LS2 9JT United Kingdom
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This one day course will provide an introduction to small area geodemographic classification.  Participants will gain experience of: (i) accessing 2011 Census data using the Census Support services of the UK Data Service (ii) building a small area geodemographic system based on census data (iii) using a geographical information system to visualise the classification. Objectives To learn how to access and extract census data from the UK Data Service using InFuse (aggregate statistics) and Boundary Data Selector (small area boundary…

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December 2017

Oxford Retail Futures Conference

11th December 2017 @ 7:00 pm - 12th December 2017 @ 5:15 pm
Said Business School, University of Oxford, Park End Street
Oxford, OX1 1HP. United Kingdom
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Oxford Retail Futures Conference: The changing role of place in a digital world The Oxford Retail Futures conference is an annual conference. It is being organised jointly by the Oxford Institute of Retail Management, Saïd Business School, University of Oxford and the Consumer Data Research Centre (CDRC). Overview: The continued importance of physical locations for retailing has come into question, as the ways in which shoppers choose to shop are changing in fundamental ways. Three important drivers of this change are…

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