Statisical Resources: Open Learn

Open Learn is a group of FREE courses from the Open University. As you would expect from a major educational institution with a long and proud history of providing high quality education, these offerings are a real gem and it would be foolish to pass up the opportunity to make the most of them.

You can access the site here.

Open Learn offers many different courses covering many different subjects – but not film studies, which is a shame. It does, however, include a whole series of mathematics and statistics modules aimed at students of different levels covering everything from descriptive statistics and graphs to statistical modelling. Many of these courses are interactive, and they are designed to provoke you. Courses worth checking out are:

  • Finding information in mathematics and statistics (Introductory)
  • Diagrams, charts, and graphs (Introductory)
  • Exploring data: graphs and numerical summaries (Introductory)
  • Interpreting data: boxplots and tables (Intermediate)

The focus of these courses is more on learning statistical concepts and how to use the tools of statistics effectively than the procedural knowledge of performing calculations. There is no assumption of prior knowledge of statistical methods. Key concepts are explained clearly and simply, and best of all they come in small chunks that avoid the over-designed deluge of information you get from a lot of statistics textbooks. Consequently, you can get learn a great deal very quickly and very simply.

There are also forums for discussing the content of the courses, but there is not tutorial support. These are only open to registered participants, but you do not have to register to follow the courses.

This is an excellent place to begin if you want to start developing some of the research skills you will need in film studies (but which you will not be taught on film studies degrees). Working through the courses listed above will make life so much easier when starting a more formal course in statistics. Taking some time to work through the basic modules will certainly put you in a better position to interpret empirical research in film studies, to be able to use information more judiciously and thereby to distinguish good research from bad, and eventually to be able to do some research using statistical methods.

A very good thing indeed.

 

About Nick Redfern

I am an independent academic with over 15 years experience teaching film in higher education in the UK. I have taught film analysis, film industries, film theories, film history, science fiction at Manchester Metropolitan University, the University of Central Lancashire, and Leeds Trinity University, where I was programme leader for film from 2016 to 2020. My research interests include computational film analysis, horror cinema, sound design, science fiction, film trailers, British cinema, and regional film cultures.

Posted on November 24, 2011, in Statistics and tagged . Bookmark the permalink. Leave a comment.

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