MATLAB

  • 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.

  • 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.

  • article | Publicly viewable

    A brief introduction to Programming Style - some things to consider when choosing layout, naming variables, and adding comments to your programs.

  • course pack | Oxford only

    PHP is a widely used general-purpose scripting language that is especially suited for web development and can be embedded into HTML.

  • course pack | Publicly viewable

    This session provides a non-technical introduction to the basic principles and mechanics underlying work in any computer language and gives general guidance in what to look for when evaluating project proposals and coding progress.

  • course pack | Publicly viewable

    This module is for those with no programming experience who either want/need to take one of our programming courses, or who are just curious about some of the concepts involved in programming.

  • playlist | Oxford only

    This playlist will prepare you for the workshop "Programming: Starting to think like a programmer".

    You are strongly advised to watch the playlist ahead of the course. After the course you may like to visit the Post-course playlist.

  • course pack | Oxford only

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

  • 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.

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