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The Computer Laboratory offers short courses which include but are not limited to the courses listed below. We also offer customised training to companies and organisations which have special needs. Contact us and let's discuss your options. 

MS Office 2016 Essentials 
This course is designed for persons with little or no knowledge of Office 2016. It will allow users to be proficient in the use of MS Word, MS Excel and MS PowerPoint 2016.

MS Office 2016 Intermediate
This course is designed for the user who is already familiar in using the MS Office Suite. Participants will be able to build on what was covered in the Microsoft Office 2016 Essentials course. 

MS Office Project 2016 
This course has become a key component in any Projects Team's Toolkit.Knowledge of this course will drastically increase productivity both in  the project team and in your own projects and daily activities Click here for the current MS Office 2016 schedule

 

Statistical Analysis Using SPSS
SPSS (Statistical Package for the Social Science) is an instructor-led classroom course that provides an application orientation to SPSS. Students will review several statistical techniques and discuss situations in which they would use each technique, assumptions made and how to set up the analysis and interpret results. Students will better understand when and how to use these techniques and apply them with confidence, interpret their output and graphically display their results. Click here for the current SPSS schedule

 

 

Introduction to R
R is an open source software package that can be used for statistical computing and graphics. The R language is widely used among statisticians and data miners for developing statistical software and data analysis and runs on a range of operating systems. The primary objective of this course is to provide participants with an introduction to R to cover statistical techniques which include: T-test for means, Variance Tests, Chi-Squared Tests, Normality Tests, Analysis of Variance, Correlation analysis and Regression Modelling.  Data visualisation is also explored and participants will be exposed to the powerful potential of R’s graphical elements in order to create customisable visuals to aid in the storytelling of data. Click here for the current Introduction to R schedule

 

For further details, please contact the Computer Laboratory at: 662 2002 Ext 83559; 645-7856

E-mail: fss-comp.lab@sta.uwi.edu

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