We recommend searching SOLO for books on data analysis to find out more about general options and approaches. Relevant journals can also be useful resources to find additional discussion of analysis tools, as well as examples of research conducted with it.
Concepts such as big data and data mining are growing in popularity, and attract a lot of support from video tutorials on YouTube or LinkedIn Learning (free to members of the University via Single Sign-On).
Many of the tools described in this section have similar capabilities. Choice is often based upon how commonly they are used within certain disciplines, how well they are documented and how readily available they are in practice.
Advice and training on data analysis are provided by academic departments and IT Services, and are not duplicated by the Bodleian Data Library.