Workshops

To help develop your skills in key areas, we offer a range of interactive maths and statistics workshops. Each workshop is repeated throughout the year.

Maths workshops

Are you applying (or going to apply) for jobs and would you like some hints and tips for taking numerical reasoning tests? Do you need a refresher on percentages and ratio? Would you like to know how to interpret and answer these type of questions?

If you answered yes, these workshops on preparing for numerical reasoning tests may be useful for you.

Numerical Reasoning for Employability

During this workshop provided by the Maths Skills Centre, we will explore how to answer typical numerical reasoning test questions and point you to some useful resources. This will be a hands-on session involving you having a go at actual questions from up-to-date employer tests used for graduate recruitment with practical methods for solving problems in the quickest way. We will also introduce you to the very useful site AssessmentDay with free practice tests with full solutions.

Numerical Reasoning for Employability: Extension

This extension session will focus on preparing you for the hardest questions that numerical reasoning tests may include. You will be invited to have a go at these questions and we will go over general strategies and time-saving techniques that will make them feel more manageable.

This workshop is suitable for those who have attended the first session, or those with a good grasp of the numerical techniques required for tackling typical numerical reasoning tests. We will also introduce you to the very useful site AssessmentDay with free practice tests with full solutions. 

Statistics workshops

These workshops will introduce you to statistical software and review key statistical concepts. They are especially useful to prepare for writing up a dissertation or thesis project.

Getting Started with SPSS

This session is for people who have never used SPSS before or who want a refresher. You will learn how to get data in, quick ways of cleaning your data and how to create graphs in SPSS. 

Statistical Testing Using SPSS

This workshop will teach you how to decide which statistical test is best for your data and briefly explains assumptions, transformations and non-parametric tests. You will then run some common tests in SPSS using different guides that you may want to use when using SPSS on your own.

ANOVAS in SPSS

This session explains various ANOVA tests, how to run them in SPSS, interpret the output and where to find help for running more complex analyses. There will also be brief explanations of statistical concepts such as effect size, power and type I and II errors.

Regressions in SPSS

This session explains various regression tests, how to run them in SPSS, interpret the output and where to find help for running more complex analyses. There will also be brief explanations of statistical concepts such as effect size, power and type I and II errors.

Introduction to R (coding)

This workshop will introduce you to the coding aspect of using R. You will get data into R, learn how to clean the data ready for analysis using R packages, functions and arguments and make plots. During the workshop you will discover the best places to get help while using R. This workshop is suitable for people who have not done any computer coding before.

Statistical Analyses Using R

This session recaps basic data management before suggesting some R functions that check assumptions and carry out common statistical tests. It ends with advice for researching more advanced analyses and resolving error messages. This session presumes that you have either attended an Introduction to R workshop or know the basics of coding in R and that you have a basic understanding of statistical testing

Booking

To book to attend a workshop you may login to the Workshop Booking System  and see the next available workshop dates. 

For staff, use this login to the Workshop Booking System

You can also book by clicking on the link next to a workshop on the calendar below.