Managing your Data
Upcoming training sessions and courses
We'll guide you through the essential steps of planning your data analysis - from clarifying research questions and identifying variable types, to selecting the most appropriate statistical tests.
Unsure which statistical software best suits your research needs? We'll provide a clear, practical comparison of SPSS, R, and Stata, covering core features, accessibility, and pros and cons of each.
Understand the basic principles of Research Data Management and the key role that data management plays in responsible research
An introduction/refresher to SPSS - learn how to import and clean your data, how to run basic stats, how to create graphs.
This workshop will introduce you to the RStudio interface, and writing R code to import, manage and plot data.
This introductory session will cover this important aspect of research data management (RDM), encouraging researchers to consider and plan for the archiving of their research data for long-term access and reuse.
Learn how to animate graphs, build 3D graphs, and creating a GIF of you graph in RStudio.
In this introduction you will practice importing data into STATA, as well as cleaning, summarising and plotting the data.
In this introductory session we will cover the basics of importing files into NVivo, data coding and classification principles, and basic data analysis and visualisation.
An overview of the basics of data management planning, the component parts of a plan, and best practice guidance.
Understand the basic principles of Research Data Management and the key role that data management plays in responsible research
This introductory session will cover this important aspect of research data management (RDM), encouraging researchers to consider and plan for the archiving of their research data for long-term access and reuse.
An overview of the basics of data management planning, the component parts of a plan, and best practice guidance.
In this introductory session we will cover the basics of importing files into NVivo, data coding and classification principles, and basic data analysis and visualisation.