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Statistical Methods for Research Online Course and Self Assessment Exercise

This programme is targeted at providing students with the statistical skills they need to complete their research reports and to understand and evaluate statistical models. The programme takes a cross-disciplinary approach and is compatible with all major statistics packages such as SPSS, GenStat, Minitab and Stata. It is rich with scenarios, worked examples, practical applications and interactive statistical models and can be supported by optional peer-to-peer and tutor-led activities.

Aimed at

Doctoral Researchers (early stage, mid stage, final stage), Research Staff

Presented by

Brunel Graduate School - Online Research & Teaching Courses

Key learning outcomes

By the end of this session participants will have an understanding of:
  • Statistical methods in different disciplines (choose your discipline)
    • BIOMEDICAL SCIENCES
    • BUSINESS
    • ENGINEERING AND TECHNOLOGY
    • NATURAL SCIENCES
    • SOCIAL SCIENCES

View or register via

Direct link: http://www.brunel.ac.uk/statistical-methods

OR

View via BlackBoard Learn: Communities > Brunel Graduate School - Research & Teaching Courses > Statistical methods for research

Specific skills focused on in this session

Statistical methods

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Brunel 3D Development Tool

Develops the following:

Skills needed to do your research and career

Researcher Development Framework (RDF) Competencies

Develops skills relevant to the following domains of the RDF:

This workshop is provided by

Brunel Graduate School Logo

Email address graduateschool@brunel.ac.uk Telephone number 01895 265935