Dear Jose, I’d be happy to share some of my experiences with you. From a standing start about 18 months ago, during my own PhD, I took a similar decision. During that time I’ve managed to learn some basic programming and have been able to use some data science techniques on my own data. Drop me a line if you’d like to discuss things. To start with, I’d recommend the Partially Derivative podcast. This is a magazine show about data, data science and so on, that will give you a good feel for the field as an outsider. I found this episode from a couple of years ago particularly good as a ‘Where to start’ guide: http://partiallyderivative.com/news/2015/01/09/episode-9-the-one-that-will-t.... If any other AoIR list colleagues think it would be useful to set up some sort of group discussion/repository of resources for social science/humanities scholars, I’d be happy to be involved. Kind regards Craig On 22 Feb 2017, at 05:19, Jose Marichal <jfmarichal@gmail.com<mailto:jfmarichal@gmail.com>> wrote: Colleagues, I'm a mid-career Ph.D. social scientist going on sabbatical next year and I'd like to immerse myself in learning different aspects of data science/machine learning... I'd be grateful if folks could recommend programs or opportunities for Ph.D.'s to learn these tools. Warm regards, Jose Marichal California Lutheran University -- _______________________________________________________________________________________ josé marichal, ph.d. | professor and chair| political science department | california lutheran university 60 w. olsen road | #3800 | thousand oaks, ca 91360 _______________________________________________ The Air-L@listserv.aoir.org<mailto:Air-L@listserv.aoir.org> mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org Join the Association of Internet Researchers: http://www.aoir.org/