Misc. Lectures Online

I highly recommend the following lectures for anyone interested in social science research using quantitative methods:

• The late Sam Roweis (a brilliant educator who died unexpectedly several years ago) gives a superb introduction to machine learning and probabilistic graphical models here, complete with lecture slides. In case you aren't aware, probabilistic graphical models are in effect a unifying approach to a wide range of statistical models, from hidden Markov models to hierarchical Bayesian models.
• Salman Khan, the MIT graduate who started the eponymous Khan Academy, offers a superb series of lectures on probability, available here. Probability is actually the foundation for quantitative research in the social sciences, since much of the goal of inference is to quantify uncertainty through the use of probability distributions such as the Gaussian, Poisson, Gamma, and so forth.
• Although for programmers in python, the computer scientist Allen Downey gives a thorough, intuitive, and entertaining overview of Bayesian analysis, which you can view in its entirety here.

Making Books

This video makes me wonder how, although technology has innumerable benefits, some aspects of culture will be lost if we don't retain at least some working knowledge of older technologies:

Animating David Harvey

I found the addition of animation a clever way of augmenting the arguments by the sociologist David Harvey, who discusses the crises of capitalism here:

Clearly this was a time-consuming effort, so not many of these videos can be made easily. If there is a way to make animating lectures more automated (through, for instance, computerized animations) it would be very beneficial for helping students learn. You can find additional RSAnimate lectures here.