15 Credits SPRING



Aims/Description: The aim of this module is to provide students with advanced training in the use of statistical methods and computers to explore, visualise, analyse and present biological data. Advanced principles of programming for data analysis, data interpretation, statistical analysis, and graphical presentation are stressed. The course is based on the statistical programming language R, and the Integrated Development Environment RStudio. Students will study a choice of specialist modules selected to support student-specific interests and requirements. In addition, they will be guided through the process of making sense of real world, messy data, developing workflows with tidy data, deriving research questions, and ultimately preparing a data story using the simple markdown language.

Staff Contact: BECKERMAN ANDREW P
Teaching Methods: Laboratory work, Independent Study
Assessment: Formal Exam, Course work

Information on the department responsible for this unit (Biosciences):

Teaching timetable

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NOTE
The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

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Teaching methods and assessment displayed on this page are indicative for 2024-25.

Western Bank, Sheffield, S10 2TN, UK