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May 2017

Local Area Research & Intelligence Association Conference

23rd May 2017 @ 9:30 am - 24th May 2017 @ 5:30 pm
Sheffield City Hall, Barker's Pool
Sheffield, S1 2JA
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CDRC will be exhibiting at the LARIA Conference at Sheffield City Hall on 23-24 May 2017.

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June 2017

New Sources of Data for Social Science Research – Glasgow

20th June 2017 @ 11:45 am - 4:30 pm
Sir Alwyn Williams Building, Sir Alwyn Williams Building (Level 5), University of Glasgow
Glasgow, G12 8QN
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This free event from our colleagues at the Urban Big Data Centre provides an opportunity to catch up with new sources of data for social science research.  The data sources are: Administrative data Biomarker data Urban big data For each of these sources of data we will give an overview and consider how they can be used to extend your options for exploring social science research questions. There are no pre-requisites for attending. This event is likely to be most…

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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 110A, 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 110A, 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 110A, 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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Introduction to R

15th September 2017 @ 10:00 am - 1:00 pm
Leeds Institute for Data Analytics, University of Leeds
Leeds, LS2 9JT United Kingdom
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This 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 or R, how R handles different data types and how you can begin to use R to solve complex data science, machine learning and statistical problems. Specifically, you will work with R and its various…

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October 2017

R for Spatial Analysis

6th October 2017 @ 9:00 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 get you up-to-speed with using R and RStudio for daily working with spatial data. You will learn about R's powerful geospatial data processing, analysis and visualisation capabilities. It is practical and hands-on: you'll learn by doing. It assumes you already use R and want to extend your knowledge for spatial data applications. It will cover the recently developed sf package, which is compatible with the tidyverse, representing the cutting-edge of spatial data applications. It will provide a solid foundation…

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Spatial Analytics for Public Health Researchers

24th October 2017 @ 9:30 am - 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Leeds, LS2 9JT United Kingdom
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As spatial datasets 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 data thanks to its powerful analysis and visualisation packages. This course introduces the basics of how R can be used for spatial data. Programme Objectives To understand common spatial units in the UK To use open resources to match data at different spatial…

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