These courses are delivered online via video tutorials, presentations, online exercises and peer discussions.
This intermediate to advanced course teaches data curation. It covers all parts of data curation, which are conceptualized in a cycle. Topics covered include for instance: appraisal, preservation, and reuse.
When effectively analysed and presented in a clear and compelling way, data has the potential to create impact. Whether that’s changing perceptions, offering counterintuitive insights or prompting action, impact happens when data acts as the catalyst for change. And at the heart of driving change is the skill of finding and telling stories using, where relevant, compelling visualisations. No field is more experienced at finding and telling stories than journalism, and no field better at using data than data science. This set of modules looks at what these fields can learn from each other, in order to find and tell compelling stories with data. This is a free course, i.e. there are no fees for registering and attending it.
The course emphasises a hands-on approach to learning data skills, offering a number of interactive, online exercises that will let you try out many of the techniques and concepts covered in the taught material.
Software and data make the world go round. Learn programming, to analyse and visualise open data, with this free online course. This free course will teach you how to write your own computer programs, one line of code at a time. You'll learn how to access open data, clean it and analyse it and to produce visualisations. You will also learn how to write up and share your analyses, privately or publicly.
This introductory course teaches data curation for research data. Besides generic data management and data organisation, it covers data transformation, data protection, data security, licensing, and metadata.
