STATA

  • 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.

  • 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.

  • learning activity | Publicly viewable

    1 sentence teaser text for the search results list

  • 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 is an introduction to Stata

  • course pack | Oxford only

    This course covers many of the most commonly used and most useful commands for more complex (and more realistic) data manipulation and analysis

  • course pack | Oxford only

    An introduction to using some of the more advanced data manipulation commands in Stata including commands which are commonly used within programs. The course also covers the basic commands required to write your own programs in Stata.

  • course pack | Oxford only

    This module covers a number of key areas in Stata. You will learn about the analysis of survey data and how to make graphs. How to perform common statistical analyses is also covered, although the emphasis is on the Stata commands and interpretation of output rather than on teaching statistics.

  • 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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