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April 2017

Introduction to R with data pre-processing and visualisation

3rd April 2017 @ 1:00 pm - 4:00 pm
Leeds Institute for Data Analytics, University of Leeds
Leeds, LS2 9JT United Kingdom
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Course overview: 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…

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KNIME Basics & Twitter Text Analysis

4th April 2017 @ 9:30 am - 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Leeds, LS2 9JT United Kingdom
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KNIME Analytics Platform is the leading open-source solution for data-driven innovation, helping you discover the potential hidden in your data, mine for fresh insights, or predict new futures. KNIME allows users to visually create data flows (or pipelines), selectively execute some or all analysis steps, and inspect the results and models with interactive views. With more than thousand modules, hundreds of ready-to-run examples, and the widest choice of advanced algorithms available, KNIME Analytics Platform is the perfect toolbox for any…

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R for Transport Applications: Handling Big Data in Spatial World

26th April 2017 @ 9:30 am - 27th April 2017 @ 4:30 pm
Leeds Institute for Data Analytics, University of Leeds
Leeds, LS2 9JT United Kingdom
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Overview This course teaches two skill-sets that are fundamental in modern transport research: programming and data analytics, with a focus on spatial data. Combining these enables powerful transport planning and analysis workflows for tackling a wide range of problems, including: How to effectively handle large transport datasets? Where to locate new transport infrastructure? 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…

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July 2017

Advanced Modelling Strategies: challenges and pitfalls in robust causal inference with observational data

17th July 2017 @ 9:00 am - 20th July 2017 @ 5:00 pm
Leeds Institute for Data Analytics, University of Leeds
Leeds, LS2 9JT United Kingdom
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This four day summer school, supported by SSM, is designed to give an introduction to the common pitfalls and challenges in statistical multivariable regression modelling of observational data. This school is run by Prof Mark S Gilthorpe (Medicine, Leeds) with input from Dr Peter WG Tennant (Healthcare, Leeds) and Dr George TH Ellison (Medicine, Leeds) and is based on materials prepared in conjunction with Dr Johannes Textor (Radboud University Medical Center, Nijmegen). By the end of the course, participants will…

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September 2017

An Introduction to Small Area Classification

12th September 2017 @ 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 provide an introduction to small area geodemographic classification.  Participants will gain experience of: (i) accessing 2011 Census data using the Census Support services of the UK Data Service (ii) building a small area geodemographic system based on census data (iii) using a geographical information system to visualise the classification. Objectives To learn how to access and extract census data from the UK Data Service using InFuse (aggregate statistics) and Boundary Data Selector (small area boundary…

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