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April 2019
Geocomputation and Data Analysis with R
Please be aware 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 Analysis with R aims 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…
Find out more »Introduction to R
Please be aware that this course is now fully subscribed - we expect to run it again in Autumn 2019. Please contact Kylie Norman if you would like to be added to the waiting list. This half-day course, run in conjunction with Leeds Digital Festival, 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…
Find out more »May 2019
Introduction 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 object-oriented programming. We will then focus on working with actual data, such as survey data, time-series data, JSON data (e.g. Twitter data), and geo-spatial data. This will include visualization and statistical analysis of numerical…
Find out more »Data Partner Forum – 2019 – Leeds
The ESRC's Consumer Data Research Centre is delighted to invite you to its fourth annual Data Partner Forum. This year we will celebrate the Centre's achievements over the last five years and spotlight our significant successes. As the CDRC moves into the next phase of funding, we will continue to generate pioneering research alongside our data partners and to influence policy and practice. AGENDA 10:30 Registration 11:00 – 12:30 Session 1: Smart cities Professor Mark Birkin - Welcome Dr Minh Le…
Find out more »Introduction to Spatial Data & Using R as a GIS – London
THIS TRAINING IS NOW FULLY BOOKED! This is a training and capacity building event organised by the Consumer Data Research Centre (CDRC) in conjunction with the National Centre for Research Methods (NCRM), ESRC funded research projects. Course Contents: In this one day course we will explore how to use R to import, manage and process spatial data. We will also cover the process of making choropleth maps, as well as some basic spatial analysis. Finally, we will cover the use…
Find out more »Confident Spatial Analysis and Statistics in R & GeoDa – London
This is a training and capacity building event organised by the Consumer Data Research Centre (CDRC) in conjunction with the National Centre for Research Methods (NCRM), ESRC funded research projects. Course Contents: In this one day course we will show you how to prepare and conduct spatial analysis on a variety of spatial data in R, including a range of spatial overlays and data processing techniques. We will also cover how to use GeoDa to perform exploratory spatial data analysis,…
Find out more »June 2019
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 common mistakes and how to use Tableau by creating visualizations that range from bar and line charts to heat maps and geographic maps. You'll then have the opportunity to apply your knowledge by tackling a…
Find out more »October 2019
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 data thanks to its powerful analysis and visualisation packages. This course introduces the basics of how R can be used for spatial data. The course will begin…
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