Introduction to Statistics

Coronavirus (COVID-19) information

The Short Course Programme in Population Health Sciences has been temporarily suspended.


Bookings for 2020-21 courses will open later in the autumn.

Information on this page relates to the last run of the course and is for reference only. 

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We may need to make responsive changes to our future programme to follow the latest Public Health, Government and University guidance on coronavirus (COVID-19).

Please be aware that all information about short courses planned for 2021 is provisional and subject to change.

Course dates

16 - 20 December 2019

Course duration

5 days (approximately 30 hours teaching).
Registration will start at 9.15am on the first day, the course will finish by 3.30pm on the final day.

Course tutors

Rosie Cornish, Nick Turner (course organisers) and others.

Course aims 

The aim of the course is to introduce the basic statistical concepts and methods commonly used in medical and public health research.

Course objectives

By the end of the course, students will be able to:

  1. appreciate the role of statistical methods in epidemiology and public health;
  2. develop skills in presenting quantitative data using appropriate displays, tabulations and summaries;
  3. appreciate the nature of sampling variation and the role of statistical methods in quantifying variation, setting confidence limits, and testing hypotheses;
  4. select and use appropriate statistical methods in the analysis of simple datasets;
  5. understand and interpret output from statistical analyses; and
  6. present findings based on statistical analysis in a clear, concise and understandable manner.

Who the course is intended for

This course is intended for students who require a basic knowledge of the common statistical methods used in medical research. Previous computing experience is not required. Computer practicals will use Stata, so a basic knowledge (as provided by the 'Introduction to Stata' course) would be advantageous but is not necessary.

Course outline

Topics to be covered include:

  • defining and displaying data;
  • sampling variation and confidence intervals;
  • comparison of two means;
  • comparison of two proportions;
  • linear regression and correlation;
  • logistic regression
  • sample size calculations.

Please note: Practical sessions of this course will be held in a computer lab, so you will not need to bring a laptop.

High quality teaching. Excellent organisation and resources.

Course feedback, January 2020

Course fee


More information on course fees, fee waivers and reduced prices.

Course venue

Bristol Medical School
Canynge Hall
39 Whatley Road
United Kingdom

Map and directions

Course refreshments

We provide morning and afternoon refreshment breaks, including tea and coffee, biscuits and fresh fruit.

If you have specific dietary needs we ask that you let us know in advance.

Lunch is not included. There are a range of local cafes and supermarkets nearby for students to purchase lunch. 


Information about accommodation in the area.

Related short courses


For further information please email

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