Introductory analysis of linked data (Theory)

This course introduces the topic of linked data analysis at an introductory to intermediate level. These techniques apply to both health and administrative data.

Course details

This course introduces the topic of linked data analysis at an introductory to intermediate level. These techniques apply to both health and administrative data. This course is a pre-requisite to Introductory Analysis of Linked Data (Practical). It fills a gap in research training opportunities by laying down the theoretical principles before combining it with hands-on practical exercises in the implementation of computing solutions in Introductory Analysis of Linked Data (Practical).

Who should attend?

This course is ideal for health and social care researchers, social scientists, clinical practitioners and health care managers who wish to improve their understanding of working with health-related routine data, and to gain the theory and skills needed to analyse linked health and social data.

Skill areas & competencies

Skill Areas:

• Problem Solving
• Analysis
• Statistical Modelling
• Visualisation

Skill Competencies: 

• Data Preparation and Feature Modelling,
• Data Analysis and Model Building

This course is being run by Datacise open learning for more information please contact them directly.