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…

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 geographic data sets and undertaking spatial analysis. Short lectures will be interspersed with hands-on practical exercises with plenty of opportunity to work with your own data and seek advice regarding your own projects. Who teaches the…

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? 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 to visualise results in an attractive and potentially on-line…

**In conjunction with Leeds Digital Festival 2019** 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 sector. It will teach a range of techniques using recent developments in the package sf and the ‘metapackage’ tidyverse, based on the open source book Geocomputation with R (Lovelace, Nowosad, and Meunchow…

**In conjunction with Leeds Digital Festival 2019** 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 types and how you can begin to use R to solve complex data science, machine learning and statistical problems. Specifically,…

**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…

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,…