Online courses

Online learning

In addition to the workshops we deliver to groups in the classroom, we offer live online sessions and asynchronous online training courses. We also have our own Electv online training school that students can engage with directly and complete the courses at their own pace.

We are currently developing more asynchronous courses, if you would like to be informed about new courses as they become available then please sign up to our newsletter.

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Advantages of online training

  • Individuals can learn at their own pace and in their own time
  • Suitable for part-time and distance learners
  • Cost effective solution for large numbers of students
  • Can be combined with face to face workshops & live webinars

We are currently expanding the range of courses that we offer online, we also design online content for clients directly so please do get in touch if you have a specific project in mind.

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Our online courses include:

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cropped-electvlogo.png Intellectual property essentials: copyright, teaching & commercialisation

Intellectual property (IP) is considered to be a “creation of the mind” and a considerable amount of IP is created in universities. It is now essential for researchers to equip themselves with an elementary knowledge of the subject because IP is relevant to scholarly publishing, teaching materials, patents and much more.

  • An introduction to the various types of intellectual property and how these apply to scholarly pursuits
  • Can be completed in one day or at the individual’s own pace over a longer period of time
  • Consists of case studies, videos, multiple choice quizzes and further resources

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cropped-electvlogo.png Your professional profile & networking

Building and maintaining a professional network, both offline and online, is a key requirement for all researchers and an effective network can have a very positive effect on your career, whether it is in academic research or beyond. In addition, taking the time to ensure that your professional profile presents you, your skills and experience, your values and your interests in the way that you would like to be perceived by others is worth the effort.

  • An introduction to professional profiles (both offline and digital) and networking strategy
  • Can be completed in one day or at the individual’s own pace over a longer period of time
  • Consists of case studies, videos, optional activities and further resources

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cropped-electvlogo.png Build your own website in a day

A website is an effective way to communicate your research, make it visible to a larger audience and summarise your research activities in one central online location. You may wish to create a website for yourself, for a research group, for a specific project, for a teaching topic or any other reason – this short course will enable you to do that.

  • An introduction to the WordPress platform and a step by step walkthrough of how to build your own website.
  • No coding involved
  • Can be completed in one day or at the individual’s own pace over a longer period of time
  • Consists of case studies, videos, multiple choice quizzes and further resources

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cropped-electvlogo.png Introduction to R statistical software & data visualisation

(coming soon – summer/ autumn 2020)

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A series of four introductory courses to the freely available R statistics software, now the most commonly used software for statistics in academia. An essential skill for researchers in quantitative subjects.

R101: An introduction to R

  • Data & questions
  • Descriptive statistics
  • Numerical summaries
  • Graphical displays
  • Exploration vs confirmation

R102: Graphs & visualisation

  • Exploration of a real dataset
  • Basic graphs using the package ggplot2
  • Bar plots, scatter plots, histograms, box plots, density plots
  • Plot data on maps
  • Motion charts

R103: Inferential statistics & statistical modelling

  • Variables, probability, the Normal distribution
  • Statistical tests and hypothesis testing
  • Confidence intervals
  • Student’s t-test, chi-squared test

R104: An introduction to R programming

  • Variables and data types
  • Functions
  • Conditions, loops
  • R programming
  • Writing your own package

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