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.