The Urban Big Data Centre at the University of Glasgow is pleased to announce four short courses this August 2015 in geographic information systems (GIS) and spatial statistics.

The courses, offered completely free of charge, will provide introductory methods training in data analytics to a range of participants, including social science researchers, students and practitioners.

Places are limited and registration is required. For more information on each course and to register, please follow the links below.

Sincerely,

Prof. Piyushimita (Vonu) Thakuriah
Director, Urban Big Data Centre

UBDC Training Programme: August 2015

Lab A (912A) Adam Smith Building, University of Glasgow

Introduction to Geographic Information Systems (GIS) Using ArcGIS

Wednesday 19th - Thursday 20th August 2015

In this short course, participants will be introduced to Geographic Information Systems (GIS), a powerful tool for analysing spatial data. The purpose of this course is to familiarise participants with what a geographic information system is and the potential for it to be used for informed decision-making. REGISTER

Introduction to Network Analysis in ArcGIS

Friday 21st August 2015

Network analysis in ArcGIS allows us to analyse problems connected to the transportation of goods or people across a network. Building on your existing GIS knowledge, this course focuses on network analysis for understanding routing data and making informed decisions that can be applied to urban planning and business decisions. REGISTER

Introduction to R

Wednesday 26th August 2015

As a powerful, open-source tool for statistical analysis, R has been increasingly used in higher education, scientific research and practice. Through this introductory course, we aim to provide analysts with the foundational skills needed to use R for statistical analysis, which can be applied to research as well as practical planning situations. REGISTER

Introduction to R for Spatial Analysis

Thursday 27th - Friday 28th August 2015

This short course introduces some common spatial analysis functions in R, ranging from basic data operation to more advanced spatial statistics. Building on your existing knowledge of R, this course would benefit participants who want to use a powerful, open-source and customisable tool for spatial analysis, which can be applied to a range of topics in urban planning and policymaking. REGISTER