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Dear Colleagues, **With apologies for cross-posting** The ESRC-funded Consumer Data Research Centre<https://www.cdrc.ac.uk/> at the University of Leeds is currently offering the following courses in December and January: Introduction to R<https://www.cdrc.ac.uk/events/programming-short-course-in-r/> - still a few spaces left 3rd Dec 2018 @ 1:30 pm - 4:30 pm Leeds Institute for Data Analytics, University of Leeds Course Tutors: Drs Richard Hodgett and Emmanouil Konstantinidis This half-day course will 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 packages to import, clean, manipulate and visualise real world data. The course assumes no knowledge of R or statistics. Objectives 1. To familiarise attendees with R, including the RStudio integrated development environment. 2. To learn more about the broader R ecosystem - i.e. packages that extend the functionality of 'base R'. 3. To introduce R's syntax and a variety of primary functions. 4. To learn how to tidy and manipulate data using R. 5. To learn how to utilise data visualisations to communicate your results. No prior knowledge is assumed for this course other than having basic IT skills. Cost: £40 (students) £60 (academic, public and charitable sector employees) £150 (private sector) Spatial Modelling for Retail Analytics<https://www.cdrc.ac.uk/events/spatial-modelling-for-retail-analytics/> 28th Jan 2019 @ 9:30 am - 4:30 pm Leeds Institute for Data Analytics, University of Leeds Course Tutors: Drs Andy Newing and Nick Hood 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 modelling using simulated data related to UK consumers. These include regression and powerful industry-standard spatial interaction (or gravity) modelling. The course is taught via a series of fully supported hands-on practical sessions, interspersed with short lectures and group activities. This provides an applied and theoretical perspective, with examples drawn from the UK but relevant in a number of international contexts. This course follows on from the CDRC training course above. Aside from a brief recap of key spatial analysis techniques and spatial data sources, this course teaches entirely new content. It is suitable for those who attended the introductory course and also those wanting a stand-alone course in retail modelling. Participants will leave with a clear practical awareness of model-based spatial analysis techniques commonly applied in retail analytics. Participants may also think differently about their own consumer behaviours having undertaken this course! Who is the course suitable for? This course is designed for participants who have some experience of spatial analysis using GIS, but no prior knowledge of statistical or spatial modelling is required. Participants are likely to be PhD students or researchers looking to use spatial modelling to enhance their analysis of retail/consumer data in. The course will signpost participants towards CDRC and freely available data resources which would enable them to extend these analysis in their subsequent work. Cost: £70 (students) £120 (academic, public and charitable sector employees) £300 (private sector) Please click on the title for more information on content or to make a booking. Please email Kylie Norman<mailto:[log in to unmask]> for further information or if you are booking using a Leeds internal account. Best Wishes, Kylie Norman Administrative Assistant Consumer Data Research Centre (CDRC) Leeds Institute for Data Analytics (LIDA) Level 11, Worsley Building University of Leeds LS2 9JT Email: [log in to unmask]<mailto:[log in to unmask]> Tel: 0113 3430242 Please visit our website: http://cdrc.ac.uk<http://cdrc.ac.uk/> ######################################################################## To unsubscribe from the QUANT-GEOG list, click the following link: https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=QUANT-GEOG&A=1