Introductory description

This module is only available to students with their home department in Statistics.

The student numbers on this module are strictly limited and pre-registration will be required.

Please see https://go.warwick.ac.uk/ST344 for preregistration information and selection criteria.

Module web page

Module aims

Outline syllabus

This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.

• The statistical investigative cycle
• Data collection and quality
• Exploratory analysis of data
• Data analysis and visualisations using R
• Oral presentations and academic writing skills
• Writing for a non-specialist audience
• Teamwork, leadership and communication

Learning outcomes

By the end of the module, students should be able to:

• Understand the elements of a statistical investigative cycle
• Perform a statistical investigation for a simple problem
• Produce numerical and graphical output from R to support a statistical investigation
• Communicate the results of a statistical analysis in a written report and online
• Understand approaches to and issues in teamwork, leadership and communication
• Work effectively in a collaborative team

Indicative reading list

Specific reading list for the module

Subject specific skills

• Competence in using exploratory analysis, statistical modelling and inference to investigate and draw well founded conclusions from data.

• Competence in the use of R for data analysis, visualisation and statistical modelling.

• Ability to evaluate, select and apply appropriate statistical modelling techniques and communicate the results.

• Competence in creating structured and coherent arguments communicating them in written form, reasoning critically, carefully, and logically.

Transferable skills

• Problem solving: Use rational and logical reasoning to deduce appropriate and well-reasoned conclusions.

• Communication: Present arguments, knowledge and ideas, in a range of formats. Articulate complex statistical findings clearly and persuasively to executive audiences and potential clients, tailoring communication for technical experts and non‑specialist stakeholders alike.

• Ability to deliver results in a professional executive setting, bridging the gap between detailed statistical analysis and strategic decision‑making for diverse audiences.

• Teamwork: Understand approaches to and issues in teamwork and leadership. Work effectively in a collaborative team.

• Professionalism: Being prepared to operate autonomously, awareness of how to be efficient and resilient, managing priorities and time, self-motivated, setting and achieving goals, prioritising tasks.