Online courses you may find helpful in supporting your studies, that cover academic writing; working with research data; and IT training.
IAD PGT workshops online
We run a number of our study skills workshops as online sessions, open to both online students and on-campus students.
Please look at our open workshops webpage and check for courses designated 'PGT - Online':
Academic writing online courses
eWriting online course: specifically developed for postgraduate students at the Universities of Edinburgh, Glasgow, and Glasgow Caledonian, it covers many aspects of writing successfully at University. It is a self-study course, and you can complete it at any time.
You must be a registered student at the University of Edinburgh, Glasgow, or Glasgow Caledonian to access it.
Working with research data
MANTRA: research data management training MANTRA is a non-credit, free course which provides guidelines for good practice in research data management. It includes self-study software practicals on SPSS and NVivo, plus tutorials on organising, formatting and storing digital research data.
Statistics courses on LinkedIn Learning
Statistics Foundations 1: Learn the most common statistics, including mean, median, standard deviation, probability and more, in these beginner-level statistics lessons.
Statistics Foundations 2: Get practical, example-based learning of the intermediate skills associated with statistics: samples and sampling, confidence intervals, and hypothesis testing.
Statistics Foundations 3: Complete your mastery of statistics. Get an advanced understanding of concepts such as t-distribution, degrees of freedom, chi-square testing, regression testing, and ANOVA.
Self-study workbooks with practical exercises covering a range of IT and communications themes.
Massive Open Online Courses - or 'MOOCs' - are increasingly becoming available from a number of leading international Universities.
Coursera brings together a number of these courses; subject areas include humanities and social sciences; healthcare, medicine and biology; maths and statistics; economics, finance and business; and computer science.