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Dr Yang Li

Senior Lecturer

Data Analysis, Data Mining, Data Quality and Geocomputation

Department of Engineering & Computing , School of Architecture Computing and Engineering (ACE)

Dr Yang Li is a specialist in data analysis, data mining, data quality and geocomputation. He is a senior lecturer and the programme leader of Data Science (MSc and Professional Doctorate) in University of East London. He is also a fellow of Royal Geographical Society, a fellow of Royal Geographical Society, and a Fellow of Higher Education Academy.

Areas Of Interest

Data analysis, Data quality, Data management, Data mining, Data modelling and GIS, in the application areas of policing and crimes, healthcare services, education, business and finance, urban development, community and environment.

Data Science and Geographic Information Science

  • Quantitative analysis
  • Data mining & modelling
  • Data quality & data management
  • Big Data and Smart City

 

  • Spatial data analysis
  • Spatial Data quality analysis
  • GIS and Environmental modelling
  • Location-Based Services (LBS)
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OVERVIEW

Dr Yang Li has rich experiences in both applications and research of data analysis. Particularly, he has expertise in data mining, data integration and geocomputational analysis including data quality modelling and sensitivity analyses. He is a senior research fellow and the programme leader of Data Science (MSc and Professional Doctorate) in University of East London. He is also a fellow of Royal Geographical Society.

He has participated in numerous secondary data analysis projects, including for EU, OGI, KPMG LLP, NHS, local councils and charity organisations. He has undertaken a range of research projects funded by Department of Health, British Academy and ESRC. His works cover areas of crime, health, education, planning, community and environment.

Dr Yang Li has a number of papers published in peer-review research journals, edited books, international conferences and technology magazines.

TEACHING

MSc Data Science

This course gives you the opportunity to look at data across a wide range of subjects and sources, including finance, crime, the environment, housing, education, demographics and social media.

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