statistics

  • playlist | Oxford only

    Playlist for Matlab is a high-performance language for technical computing. This course provides a working introduction to the Matlab technical computing environment. Themes of data analysis, visualization, and programming are explored throughout the course.

  • 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. 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).

     

    All ATLAS.ti licenses are a one-time purchase: the software comes with full functionality, no hidden costs, and all subsequent updates included for free!

  • playlist | Oxford only

    Watch these videos to prepare for the workshop: Using HTML to create an online presence

  • 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.

  • website | Publicly viewable

    A series of videos, webinars and code examples to help you get the most out of MATLAB.

  • website | Publicly viewable

    View eDemos, resources and tutorials for NVivo, direct from the supplier.

  • course pack | Publicly viewable

    This course covers basic concepts in exploratory data analysis and statistical modelling using R

  • 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.

  • learning activity | Publicly viewable

    This course provides you with you with an introdution to R.

    These activities will help you prepare for attending this workshop.  There is some introductory material and two tasks to complete.

     


     

  • software | Publicly viewable

    View the website for R, a free software environment for statistical computing and graphics.

  • on-line course | Publicly viewable

    A free interactive course covering key research data management issues, designed for doctoral students and anyone else planning a project using digital data.

  • course pack | Publicly viewable | v. 2013

    Learn to create spreadsheets that are efficient, easy to understand and reliable (old version of this course)

  • 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

  • playlist | Oxford only | v. 2013

    Watch these videos to prepare for the workshop: learn to create spreadsheets that are efficient, easy to understand and reliable.

  • course pack | Publicly viewable | v. 2013

    Learn to create spreadsheets that are efficient, easy to understand and reliable.

  • 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

    This course introduces the SPSS command language, also called syntax

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