statistical concepts

  • playlist | Oxford only

    Playlist for Matlab: a high-performance language for technical computing. This course provides a working introduction to the Matlab technical computing environment.

  • playlist | Publicly viewable

    ATLAS.ti is a workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data. It offers a variety of features and advanced analysis tools for analysing, coding, and visualising a wide range of qualitative data (e.g., text, image, video, audio, geo-data, and Twitter data).

    Read more about the ATLAS.ti software.

  • software | Publicly viewable

    ATLAS.ti is a workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data

  • course pack | Publicly viewable

    Structured Query Language (SQL) is a programming language designed for managing data held in a relational database management system. This course is a follow-up to the introductory course, covering several advanced MySQL concepts.

  • course pack | Publicly viewable

    This short course covers the core skills required for a budding R user to develop a strong foundation for data analysis in the RStudio environment.

  • course pack | Oxford only

    This course will cover basic concepts in exploratory data analysis and statistical modelling using R.

  • course pack | Publicly viewable | v. 2010

    This introductory course covers some basic statistical concepts and is intended for staff who need to use statisitical information in their work but may also be useful for research staff who want to refresh their knowledge of simple statistics

  • course pack | Oxford only | v. 2013

    This session shows you how to use Excel’s lookup functions to retrieve only the results that you need from spreadsheet tables of any size.

  • playlist | Oxford only | v. 2013

    Excel skills to be comfortable with before attending this course and suggested post-course study to consolidate your learning.

  • course pack | Publicly viewable | v. 2013

    This session provides an introduction to statistical functionality in Excel where you will learn how to use various tools to perform a core set of statistical operations including mean, standard deviation, frequency, goodness of fit, t tests, ANOVA, correlation and regression and then display the results in charts such as histograms.

  • course pack | Oxford only

    The aim of the course is to develop core statistical skills for interpreting clinical and epidemiological data. The course will enable participants to develop the skills needed to analyse data for their own research projects.

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