Consumer Data Research Centre
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January 2018

Data Challenge

8th January 2018 @ 8:00 am - 4th March 2018 @ 5:00 pm

The CDRC are collaborating with GISRUK 2018 to host a data challenge that has a particular focus on Brexit. Entrants are encouraged to get their submissions in to be in with a chance of winning a £500 prize. Challenge We are inviting GISRUK conference delegates to develop a novel analysis or visualisation of CDRC and associated data in order to investigate the hypothesis set out in the Economist article “The immigration paradox Explaining the Brexit vote” (Jul 14th 2016) that argues that the rate of change…

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February 2018

Tableau Workshop

22nd February 2018 @ 9:30 am - 4:30 pm
LIDA, University of Leeds
Leeds, LS2 9JT United Kingdom
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Tableau Software, in partnership with the University of Leeds and the Consumer Data Research Centre, is hosting a full-day workshop exclusively for staff and students at Universities around the UK. Tableau Software helps people see and understand data. Learn data visualisation best practices and receive hands-on training session delivered by Tableau experts. Please note that only emails ending .ac.uk will be taken into account for the registration. Who teaches the programme? Roy Ruddle, Professor of Computing, University of Leeds Roy…

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LIDA Seminar: Beyond the traditional – Big Data for official statistics

22nd February 2018 @ 3:30 pm - 6:00 pm

This year's LIDA seminar keynote speaker is Owen Abbott, Head of Big Data at the Office for National Statistics (ONS). Further information to follow. The seminar will take place in the Clarendon Wing Lecture Theatre at 15.30. Access the Clarendon Wing via the walkway from Level 7 of the Worsley Building. This will be signposted on the day.   Agenda 15:30-17:00: Presentations 17:00-1800: Networking reception in the LIDA Staff Room with drinks and nibbles   This event is free and open to all…

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March 2018

Introduction to ArcGIS

19th March 2018 @ 9:30 am - 4:30 pm

This 1 day course provides an introduction to Geographical Information Systems (GIS) using ESRI’s ArcGIS version 10.2 software. It provides participants with the opportunity to familiarise themselves with using and navigating the software, as well as focussing on the skills of data entry, data manipulation, editing, analysis and mapping. The emphasis of this course is working with vector data in the context of a variety of socio-economic applications. The course will mix teaching with demonstrations and hands-on exercises. Programme objectives…

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April 2018

Introduction to R

16th April 2018 @ 1:00 pm - 4:00 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 of 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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Introduction to Spatial Data & Using R as a GIS – London

23rd April 2018 @ 10:00 am - 4:30 pm
University of Liverpool (London Campus), 33 Finsbury Square
London, EC2A 1AG United Kingdom
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The course will cover an introduction to R, how to load and manage spatial data and how to create maps using R and RStudio. We will show you appropriate ways of using classifications for choropleth maps, using loops in R to create multiple maps and some basic spatial analysis. We will be using RStudio to work with the R environment. By the end of the course you will be able to load data into R, represent it effectively and be…

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Confident Spatial Analysis and Statistics in R & GeoDa – London

24th April 2018 @ 10:00 am - 4:30 pm
University of Liverpool (London Campus), 33 Finsbury Square
London, EC2A 1AG United Kingdom
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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 a range of different spatial analyses including Moran’s I and clustering. By the end of the course you will understand how RStudio manages spatial data and be…

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R for Transport Applications: Handling Big Data in a Spatial World

26th April 2018 @ 9:30 am - 27th April 2018 @ 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Leeds, LS2 9JT United Kingdom
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Overview This course teaches two skill-sets that are fundamental in modern transport research: programming and data analytics, with a focus on spatial data. Combining these enables powerful transport planning and analysis workflows for tackling a wide range of problems, including: How to effectively handle large transport datasets? Where to locate new transport infrastructure? How to develop automated and reproducible transport planning workflows? How can increasingly available datasets on air quality, traffic and active travel be used to inform policy? How…

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