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.
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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.
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MS Project 2016
One of the main tools used by Project Teams globally is Microsoft Project. Knowledge of Microsoft Project has become a key component in any Project Team’s toolkit. This will drastically increase your productivity both in the project team and in your own projects and daily activities. By the end of the course, participants would have established confidence and proficiency in Microsoft Project 2016 skills and techniques
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.
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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.
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We also offer customised training to companies and organisations which have special needs.
For further details, please contact the Computer Laboratory at: 662 2002 Ext 83559; 645-7856
E-mail: fss-comp.lab@sta.uwi.edu
The Faculty of Social Sciences
UWI St. Augustine
Tel: (868) 662-2002 ext. 82407
