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15047 results for: ‘museum studies’

  • Contemporary Techniques in Biological Data Analysis

    Module code: BS2004 This module aims to further develop your data analysis abilities. As a scientist, you will be presented with ever more complicated experimental designs, as you become interested in the effects of more and more factors.

  • Big Data and Predictive Analytics

    Module code: CO3093 “Data is the new oil” has become a refrain since a 2017 article from the Economist. This module is aimed at teaching tools and methods to interrogate data in order to carry out predictive analytics and to evaluate the resulting models.

  • Programming in R

    Module code: GY7022 R is a programming language and environment for statistical computing and graphics. R can be used for geographic data visualisation, and we will use R with a particular reference to current geocomputational research and applications.

  • Data Analysis

    Module code: GY2431 This module seeks to develop the technical skills required to analyse and interpret quantitative data. It also seeks to develop skills of critical thinking, problem solving and report writing.

  • Contemporary Techniques in Biological Data Analysis

    Module code: BS2004 This module aims to further develop your data analysis abilities. As a scientist, you will be presented with ever more complicated experimental designs, as you become interested in the effects of more and more factors.

  • Big Data and Predictive Analytics

    Module code: CO3093 “Data is the new oil” has become a refrain since a 2017 article from the Economist. This module is aimed at teaching tools and methods to interrogate data in order to carry out predictive analytics and to evaluate the resulting models.

  • Programming in R

    Module code: GY7022 R is a programming language and environment for statistical computing and graphics. R can be used for geographic data visualisation, and we will use R with a particular reference to current geocomputational research and applications.

  • Data Analysis

    Module code: GY2431 This module seeks to develop the technical skills required to analyse and interpret quantitative data. It also seeks to develop skills of critical thinking, problem solving and report writing.

  • Yingxin Chen

    Research Assistant in Environmental Epidemiology Part time PhD student yc310@leicester.ac.uk I am a Research Assistant and part time PhD student in Centre of Environmental Health and Sustainability.

  • Media in Global Context

    Module code: MS7502 Module co-ordinator: Dr Vincent Campbell Module Outline Students completing this module will be able to identify and critically evaluate a framework for the comparative analysis of media systems; they will be familiar with and understand the limitations...

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