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May 2018

Introduction to Data Linkage – Oxford

10th May 2018 @ 9:30 am - 4:45 pm
Said Business School, University of Oxford, Park End Street
Oxford, OX1 1HP. United Kingdom
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This is a training and capacity building event co-organised by the Administrative Data Research Centre England (ADRC_E) and the Consumer Data Research Centre (CDRC). This short course is designed to give participants a practical introduction to data linkage and is aimed at researchers either intending to use data linkage themselves or those who want to understand more about the process so that they can analyse linked data. Introduction to Data Linkage will cover examples of the uses of data linkage, data preparation, and methods…

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Introduction to Python

10th May 2018 @ 9:30 am - 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Leeds, LS2 9JT United Kingdom
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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…

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Evaluating linkage quality for the analysis of linked data – Oxford

11th May 2018 @ 9:30 am - 4:45 pm
Said Business School, University of Oxford, Park End Street
Oxford, OX1 1HP. United Kingdom
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This is a training and capacity building event co-organised by the Administrative Data Research Centre England (ADRC_E) and the Consumer Data Research Centre (CDRC). This short course is designed to give participants a practical introduction to handling and evaluating quality of linked data, and is aimed at researchers who want to understand more about how the data linkage process might impact on results derived from linked data. We will cover processing of linked data, concepts of linkage error and bias, and evaluating how linkage…

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Evaluating linkage quality for the analysis of linked data – Oxford Copy

11th May 2018 @ 9:30 am - 4:45 pm
Said Business School, University of Oxford, Park End Street
Oxford, OX1 1HP. United Kingdom
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This is a training and capacity building event co-organised by the Administrative Data Research Centre England (ADRC_E) and the Consumer Data Research Centre (CDRC). This short course is designed to give participants a practical introduction to handling and evaluating quality of linked data, and is aimed at researchers who want to understand more about how the data linkage process might impact on results derived from linked data. We will cover processing of linked data, concepts of linkage error and bias, and evaluating how linkage…

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June 2018

Challenges and Opportunities in Retail Location Analysis – a free SLA workshop in Oxford

14th June 2018 @ 10:00 am - 4:00 pm
University of Oxford, Saïd Business School
Oxford, OX1 5NY United Kingdom
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This workshop is now fully booked, but please email Claudia Seiler at claudia.seiler@sbs.ox.ac.uk if you are interested to be put on a waiting list. Oxford’s annual 3-day residential programme on retail location & customer analysis takes a well-earned break this year. In its place, we invite you to join us for a free one-day, invitation only event in Oxford focusing on the Challenges and Opportunities facing retail location analysis and customer insight professionals. Within the context of some of the most significant…

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July 2018

Summer School – Causal inference with observational data: challenges and pitfalls

9th July 2018 - 13th July 2018
Leeds Institute for Data Analytics, University of Leeds
Leeds, LS2 9JT United Kingdom
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This five-day summer school offers state-of-the-art training in the analysis of observational data for causal inference. By exploring the philosophy and utility of directed acyclic graphs (DAGs), participants will learn to recognise and avoid a range of common pitfalls in the analysis of complex causal relationships, including the longitudinal analyses of change, mediation, nonlinearity and statistical interaction. This school is run by Prof Mark S Gilthorpe (Leeds Institute for Data Analytics, LIDA, & School of Medicine) and Dr Peter WG Tennant…

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October 2018

Introduction to GIS and Spatial Analysis for Retail Applications

15th October 2018 @ 9:30 am - 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Leeds, LS2 9JT United Kingdom
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This one-day course provides an introduction to applications of Geographic Information Systems (GIS) and spatial analysis in understanding retail sector dynamics. We focus on the visualisation and analysis of data related to retail supply (e.g. store catchments) and demand (including geodemographics) at national, regional and local scales. We consider commercial and public sector applications of retail analytics and introduce increasingly sophisticated analysis tools. These include GIS-based measures of accessibility and network analysis to determine retail service areas. A series of…

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GIS for Crime Data Analytics

19th October 2018 @ 9:30 am - 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Leeds, LS2 9JT United Kingdom
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This one-day course will follow a linear format, with a series of lectures and practical exercises leading attendees through the key steps involved in performing basic crime analysis in ArcGIS.  Starting with an overview of environmental criminological theories, the course will also include information on: (i) accessing open source crime data, (ii) locating complementary data sets e.g. area boundary files, (iii) advantages/disadvantages of different data sources, (iv) importing crime data and spatial data into ArcMap, (v) mapping data and querying…

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Introduction to QGIS

29th October 2018 @ 9:30 am - 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Leeds, LS2 9JT United Kingdom
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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?…

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November 2018

Introduction to Python for Data Analytics

1st November 2018 @ 9:00 am - 2nd November 2018 @ 4:00 pm
LIDA, University of Leeds
Leeds, LS2 9JT United Kingdom
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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…

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