Short Courses in Statistics and AI

Our scheduled short courses are below.  We are also able to run these courses for your organisation at a mutually convenient date/time, or design bespoke courses around your particular requirements. Please email statistics@herts.ac.uk for further details.

How to apply

Please click on the links below to the relevant courses and follow the instructions to apply online. If you are unable to pay by card and require an invoice, please email statistics@herts.ac.uk.

Courses in Artificial Intelligence

Course TitleDurationCostDates
Artificial Intelligence (AI) for Executives (online) 0.5 days £129
(£99 for UH alumni)
Friday 24 January 2025, 09:00-13:00
Artificial Intelligence (AI) for Executives (in-person) 0.5 days £129
(£99 for UH alumni)
Monday 3 March 2025, 13:00-17:00

Introductory Courses in Statistics and Statistical Software

Course TitleDurationCostDates
Statistics for the Terrified (online) 2 half days £249 Mornings of Tuesday 13, Wednesday 14 May 2025, 09:30-13:00
Getting Started with Stats (in-person) 1 day £249 TBA - Autumn 2025
Getting to Know R (in-person) 1 day £249 Wednesday 16 April 2025, 09:30-17:00
Data Analysis in R (in-person) 1 day £249 Wednesday 23 April 2025, 09:30-17:00
R Crash Course (online) 4 half days £399 Mornings of Tuesday 3, Wednesday 4, Tuesday 10, Wednesday 11 June 2025, 09:30-13:00
Jamovi Conversion Course – Pain-Free, Cost-Free Statistical Software (online) 1 day £249 Please email statistics@herts.ac.uk to arrange a bespoke course

Courses in Designing and Analysing Surveys

Course TitleDurationCostDates
Survey Design & Analysis (online) 2 days £399 Tuesday 20 May - Wednesday 21 May 2025, 09:30-16:30
Survey Design & Analysis 1: Collecting, Summarising & Analysing Survey Data (in-person) 1 day £249 Thursday 6 February 2025, 10:00-17:00
Survey Design & Analysis 2: Data Analysis, Sample Size & Power (in-person) 1 day £249 Thursday 13 February 2025, 10:00-17:00
Questionnaire Design and Sample Selection 0.5 days TBA Please email statistics@herts.ac.uk to arrange a bespoke course
Sample Size and Power 0.5 days TBA Please email statistics@herts.ac.uk to arrange a bespoke course

Courses in Statistical Data Analysis and Data Management

Course TitleDurationCostDates
Quantitative Data Analysis 1: Hypothesis Testing, Sample Size & Power (in-person) 1 day £249 Thursday 27 February 2025, 10:00-17:00
Quantitative Data Analysis 2: Correlation & Regression Methods (in-person) 1 day £249 Thursday 6 March 2025, 10:00-17:00
Survey Design & Analysis (online) 2 days £399 Tuesday 20 May - Wednesday 21 May 2024, 09:30-16:30
Essentials of Factor Analysis (online) 0.5 days £129 Morning of Tuesday 1 July 2025, 09:30-13:00
Essentials of Cluster Analysis (online) 0.5 days £129 Morning of Tuesday 8 July 2025, 09:30-13:00
Advanced Data Modelling (in-person) 1 day £249 TBA - Winter 2025/26 or email statistics@herts.ac.uk to arrange a bespoke course
Fundamentals of Experimental Design (in-person) 1 day £249 TBA - Winter 2025/26 or email statistics@herts.ac.uk to arrange a bespoke course
Essentials of Multivariate Data Analysis (in-person) 1 day £249 TBA - Winter 2025/26 or email statistics@herts.ac.uk to arrange a bespoke course
Mastering Excel 2 days TBA Please email statistics@herts.ac.uk to arrange a bespoke course
Mastering Excel Basics 1 day TBA Please email statistics@herts.ac.uk to arrange a bespoke course

Bespoke Courses

We are able to design and deliver bespoke courses for organisations, adapting existing courses or creating new ones. Examples of the topics we are able to cover are given below but many more are possible (please email statistics@herts.ac.uk for more details):

Short Courses in Business

Hertfordshire Business School also offers courses in various aspects of business and management. Find out more and book your short course.

Accommodation for short courses taking place in-person in Hatfield

It is not possible to book bed and breakfast accommodation at the University. However, local places to stay are listed below (it is possible that a discount may be offered if you say you are attending a University event):