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This course will provide an introduction to basic statistical concepts, methods and tools for scientific research.


This course will provide an introduction to basic statistical concepts, methods and tools for scientific research. The aim is for you to start to develop statistical literacy for carrying out and reporting on your research. 

The course consists of 4 bi-weekly two hour classes. Participants will be expected to do a small amount of homework each week. 

The course will cover the topics/ objectives below. These objectives are broad and participants will be invited to request what they would like covered within each objective.

Please note that participants will be expected to attend all 4 sessions, and will be asked to pay a refundable deposit. 

learning outcomes

By the end of this course, you will be able to

  • Design your experiment and survey for data collection
  • Describe what statistics are and why they are important
  • Navigate R’s basic functions
  • Summarise your data with descriptive statistics in R
  • Create graphs for your data in R
  • Conduct hypothesis testing in R
  • Compare and contrast hypothesis testing with Bayesian and the Information Theoretic Approach
  • Create a statistical report on your data


DPhil students and research staff with little prior knowledge of statistical tools and approaches, and who need them for their research




Dr Cedric Tan, Department of Zoology


Information about the next scheduled course, and how to apply for a place, are in our course programme.  If it isn't currently appearing in the course programme, please keep checking back. 


A1, A2

The Researcher Development Framework (RDF) provides a framework for planning and supporting the personal, professional and career development of graduate students and research staff. See the the following for more details:

Vitae (Vitae is a national organisation dedicated to realising the potential of researchers through supporting their professional and career development.)