A half-day practical workshop, familiarising participants with SPSS, starting from data entry, input/output methods and data-visualization using graphs.
We offer more Introductory SPSS courses:
- Introduction to Statistics using SPSS : A one-day course firstly familiarising participants with SPSS, and progressing from data entry and presentation, to 1 and 2 sample tests, one-way ANOVA and simple linear regression.
- Data Management and Statistical Analysis using SPSS : A two-days practical PC-based course which will go through basic statistical methods using SPSS with further emphasis on data management.
- Online Course for Introductory Statistics using SPSS : Based on one-day Introduction to Statistics using SPSS and two-days Data Management and Statistical Analysis using SPSS courses, this VLE course will give one-month unlimited access to all materials plus Tutor support. The guided walkthroughs explain how certain tasks can be done in the SPSS software while going through the theory.
Course Tutor: Joseph Eliahoo
Early Bird rate is available for up to 2 weeks before the session runs.
For group/block bookings, charity pricing and course queries, please contact stathelp@imperial.ac.uk.
Course Content
Data entry and manipulation
Enter categorical and continuous data
Define and label variables
Importing files
Transform, recode and compute variables
Graphs and Tables
Graphs such as histograms, QQ plots and box-plots
Descriptive statistics
Tables
Output and Syntax
Editing output and pivot tables
Paste and running syntax
Fees and dates for 2025-2026
Course Fees
- Imperial College Students : £120 (Early-bird rate : £108)
- External students : £160 (Early-bird rate : £144)
- Imperial College Staff : £200 (Early-bird rate : £180)
- External : £240 (Early-bird rate : £216)
* Please refer to Cancellation Policy before registering
Dates
- Wednesday 10 December 2025
- Wednesday 25 February 2026
Please CLICK HERE to be redirected to the registration forms and booking links.
Time and Location
The courses will be run online via Microsoft Teams from 10 am to 1 pm on the dates mentioned.
Exact details will be sent a week before the course date.