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This one-day course will introduce you to the uses and functions of the statistical software SPSS. It covers data entry and editing, and the basics of analyses and graphs.
It's suitable for those with little or no experience of SPSS, or those who want a refresher. A basic knowledge of statistics will be helpful.
You can also take this course over two evenings.
This course is delivered by UCL's Centre for Applied Statistics Courses (CASC) - part of the UCL Great Ormond Street Institute of Child Health (ICH).
This is a practical course that will introduce you to SPSS and its uses for statistical analysis through hands-on experience.
You'll look at the following topics:
- Getting started with SPSS files
- Data entry: manually and from excel
- Editing and organising datasets
- SPSS options and functions
- Descriptive statistics
- Graphical displays
- Parametric significance tests
- Nonparametric significance tests
Computers and software
The course will take place in a cluster room, with access to a computer and version 22 of SPSS throughout the day.
You're welcome to bring your own laptop if you prefer, but your SPSS software must be licenced before attending. Where possible, we recommend using a recent version of SPSS (e.g. 19-23) for maximum compatibility with the notes provided during the course.
By the end of this course you should be able to:
- read-in, enter, organise, and save data in a suitable way
- calculate/recode variables and prepare data for analysis
- conduct descriptive and basic inferential statistics
- be familiar with SPSS presentation of statistical output
- create and edit graphical displays of data
You can request a certificate of attendance for this course once you've completed it. Please send your request to email@example.com
Include the following in your email:
- the name of the completed course for which you'd like a certificate
- how you'd like your name presented on the certificate (if the name/format differs from the details you gave during registration)
Cost and concessions
The fees are as follows:
- External delegates (non UCL) - £200
- UCL staff, students, alumni (including ICH/GOSH) - £100*
* valid UCL email address and/or UCL alumni number required upon registration
Prices include printed course materials, refreshments and lunch.
You can cancel your booking up to five working days before the start of the course for a full refund, but please give as much notice as possible. Places cancelled or changed after this point won't be eligible for a refund. Please send all cancellation requests to to firstname.lastname@example.org
Find out about other CASC statistics courses
CASC's stats courses are for anyone requiring an understanding of research methodology and statistical analyses. The courses will allow non-statisticians to interpret published research and/or undertake their own research studies.
Find out more about CASC's full range of statistics courses, and the continuing statistics training scheme (book six one-day courses and get a seventh free.)
Eirini Koutoumanou - Course Lead
Eirini joined GOS ICH in 2008 as the first CASC Teaching Fellow and was promoted to Senior Teaching Fellow in 2014. She has a Bachelor’s degree in Statistics from the Athens University of Economics and Business and a Master's degree in Statistics from Lancaster University, and she's currently studying for a PhD at ICH. Eirini started teaching at ICH straight after her student days, putting into practice and further developing her passion for statistics teaching. She's played an instrumental role in the formation of CASC and hopes to see it develop further.
Dr Dean Langan - Course Lead
Dean joined GOS ICH in 2015 as a Teaching Fellow in CASC. He has a Bachelor’s degree in Mathematics from University of Liverpool, a Master's degree in Medical Statistics from University of Leicester, and a PhD from University of York for his research in statistical methods for random-effects meta-analysis. He's worked as a statistician on a number of clinical trials related to stroke and myeloma at the Clinical Trials Research Unit in Leeds. His specialist areas include statistical methods for meta-analysis, R programming, clinical trial methodology and research design.
"Very useful and concise intro to SPSS, with excellent notes provided - thanks very much!"
"The course was excellent, very practical and useful. Thank you!"
"Excellent course - covered a lot in a short time and the hand-outs will be very good for later use."
"The course itself was well presented and covered all the basic functionality of SPSS very well. Thanks!"
"I found the course very useful and pitched at the right level and pace for me."
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Course information last modified: 7 Aug 2019, 14:54