I sat in on a lecture this week introducing Data Science with students embarking upon the digital research specialisation on the Master of Social Science. I enjoyed the lecture because I can see the huge potential for social scientists to enhance their quantitative research skills and learn new programmes, primarily R. This Q-Step report ‘Stand out and be counted’ explains how to maximise your prospects as a social science graduate with quantitative research skills much better than I can here.
This is going to be an evolving post, which I’ll add to as I attend the data science sessions. In the meantime, I thought it would be useful to collate some resources for those new to statistics.
Learning statistics with R – intro book free to download by Dan Navarro (University of Adelaide)
Dancing statistics – learning stats through dance
Intro to stats – an online Udacity course
A hand’s on introduction to stats with R – Datacamp course, work at your own pace.
Youtube videos – in many cases, some kind person has explained what you need to know or has recorded themselves running the test you are trying to do and uploaded it to youtube.
Update: Jan 2016
Teaching with Data – a website of resources and ideas to reduce the challenges of bringing real data into post-secondary classes. There’s a range of datasets available on here to play around with.
The Data Revolution by Rob Kitchen (thank you @). Also see LSE Impact Blog post Big data should complement small data, not replace them.