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October 2018
Introduction to QGIS
This one 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 datasets 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 programme?…
Find out more »November 2018
Python for Spatial Analytics
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 data. The course will also give an…
Find out more »Web Mapping – London
Course description In this one-day course we will explore Web Mapping and show you how to use a variety of different tools to display and communicate spatial information We will have a recap of the basics of spatial data and focus on how we get a variety of different types of data into web mapping platforms We will review some of the different platforms available and spend most of the time looking at the MapBox platform. No experience of using…
Find out more »Using Spatial Data from Social Media – London
Course description In this one-day course we will consider how data from different social media platforms could be used for spatial analysis. With social media now generating significant volumes of data it is a great resource for research in a wide range of different social science areas. We will primarily focus on Twitter data explore what spatial elements there are within the data and discuss how best to show and analyse these in a GIS. We will also cover a…
Find out more »Introduction to Python – Liverpool
This course will introduce the participants to the nascent field of Geographic Data Science using the industry standard, the Python programming language. We will cover the key steps involved in solving practical problems with spatial data: design, manipulation, exploration, and modelling. These topics will be explored from a “hands-on” perspective using a modern Python stack (e.g. geopandas, seaborn, scikit-learn, PySAL), and examples from real-world spatial and tabular data. We will start with an overview of the main ways to access…
Find out more »December 2018
Programming short course in R
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…
Find out more »Oxford Retail Futures Conference
Understanding outcomes of data-driven research in retailing The Oxford Retail Futures conference is an annual conference. It is being organised jointly by the Oxford Institute of Retail Management, Saïd Business School, University of Oxford and the Consumer Data Research Centre (CDRC). Overview: Retailing is one of the first sectors to have employed large datasets at both strategic and operational levels for a variety of purposes, ranging from frequency marketing, store location, product selection, and supply chain management. The amount of…
Find out more »January 2019
Spatial Modelling for Retail Analytics
This one-day course introduces participants to sophisticated spatial analysis and spatial modelling approaches that can be used to understand retail sector dynamics. We focus on the analysis of complex interactions between retail demand (consumers) and the retail supply side (retail stores). The tools that we introduce are applied widely by the commercial retail sector and we reflect on the important link between academia and industry in the continual development of these modelling approaches. We introduce participants to statistical and spatial…
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