You can use a range of software packages to analyse data - from Access or Excel to dedicated packages, such as SPSS, Stata and R for statistical analysis of quantitative data, Nvivo for qualitative (textual and audio-visual) data analysis (QDA), or ArcGIS for analysing geospatial data.
For more information see Bodleian Data Library.
To support social scientists and others who are required to gather and handle data, the SSL has created a Data Area providing access to PCs which have specialised and restricted-licence data software installed: Bloomberg PC, Eikon PC, NVivo, SPSS, ArcGIS, and IMF Government Finance Statistics. With the exception of the Bloomberg PC, which has to be booked in advance, any reader may use these PCs.
Quantitative data analysis | Qualitative data analysis | Online tools & services | Data visualisation tools | Geospatial data analysis | Courses & support at the IT services | Sage Research Methods | Training calendars
A unified analytics engine for large-scale data processing built on data science; also popular for data pipelines and machine learning models development. Spark also includes a library – MLlib, that provides a progressive set of machine algorithms for repetitive data science techniques like Classification, Regression, Collaborative Filtering, Clustering, etc.
An increasingly popular tool for data analysis. In recent years, a number of libraries have reached maturity, allowing R and Stata users to take advantage of the beauty, flexibility, and performance of Python without sacrificing the functionality these older programs have accumulated over the years.
Part of the service infrastructure of the German Microdata Lab, MISSY is an online service platform that provides structured metadata for official statistics. It includes metadata at the study and variable level as well as reports and tools for data handling and analysis. All documentation in MISSY refers to EU and national (German microcensus) microdata available for scientific purposes.
A browser-based tool recently developed by the UK Data Service for exploration of a number of its key macro data collections. It is an attempt to integrate analysis and visualisation with the point of data access.
Access on UK Data Service, using your SSO to access the full portfolio.
See also examples and video tutorials
IT Learning Centre (ITLC) offers both classroom-based and online video courses via lynda.com to University members.
Lunchtime sessions, online resources and some courses are free; there is a charge for other courses. Courses are available to all University members.
|You can search classroom-based courses via online course booking system which allows you to book or cancel a taught course and to manage your notifications. All you will need is your Single Sign-On.|
Online courses include a selection of some online courses provided by lynda.com, a resource of online, video-based courses that University members can access at any time for free using their single sign-on credentials.
You can discover the full range using the search features within lynda.com.
ITLC also offers self-service learning resources through its Portfolio of online course material consisting of lynda.com playlists carefully curated by the ITLC teachers together with other self-study materials.
Having problems? See Help Centre Frequently Asked Questions.
A programme designed to promote a step-change in quantitative social science training.
The Oxford Q-Step Centre enables undergraduates across the Social Sciences to have access to enhanced training in Quantitative Methods, through lectures and data-labs. It is hosted by the Department of Politics and International Relations, in close co-operation with the Department of Sociology, and based in the Manor Road Building. See Courses and Resources.
Software packages comprised of tools designed to facilitate a qualitative approach to qualitative data, which include texts, graphics, audio or video. These packages (sometimes referred as CAQDAS - Computer Assisted/Aided Qualitative Data Analysis) may also enable the incorporation of quantitative (numeric) data and/or include tools for taking quantitative approaches to qualitative data.
Here are some more popular packages -
This free online resource introduces concepts, methods and tools, provides many examples using a variety of software tools such as ArcGIS, etc. to clarify the concepts discussed. It aims to be comprehensive (but not necessarily exhaustive) in terms of concepts and techniques, representative and independent in terms of software tools, and above all practical in terms of application and implementation.
Data training in the University
Training opportunities are available within the University: workshops are run by different departments, from the Bodleian Library's iSkills sessions to IT Learning Centre courses.
External data training & events
Online training opportunities as well as various workshops, seminars and conferences are also available from UKDS and other organisations.