Results 11 to 20 of 21
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...
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...
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.
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...
Tableau Software, in partnership with the University of Leeds and the Consumer Data Research Centre, is hosting a full-day workshop exclusively for staff and students at Universities around the UK. Tableau Software helps people see and understand data. Learn data visualisation best practices and receive hands-on training session delivered by Tableau experts. Please note that...
**Please note that this course is now full** 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. The school is run by Prof Mark S Gilthorpe (Medicine, Leeds) with input from Dr Peter WG Tennant (Healthcare,...
Workshop lead Owen Johnson, School of Computing, University of Leeds Rationale Care pathway improvement is a key focus of attention for clinicians, health service providers, commissioners and governments. Care pathways are a type of business process with properties that are unique to healthcare – the patient is simultaneously subject, participant and customer while care is...
Dr Jon Fistein will lead an Ethics Workshop introducing current legal, ethical and professional issues in research data use, in the Clarendon Wing Lecture Theatre.
This workshop will introduce the basics in smartphone application development with a focus on applications that can be used for data collection purposes in research projects. It will provide some basic technical understanding of how smartphone applications operate and what technical infrastructure (e.g. storage and processing of collected data using either SQL-based or NoSQL-based database...
This course aimed at social science PhD students will introduce new concepts in big data and will depend on an appreciation of challenges relating to inference, hypothesis generation, statistical analysis, mathematical modelling. Although detailed prior knowledge of one or more of these areas is not essential, a broad knowledge of issues surrounding the use of data in social science research will be assumed.