[Air-L] Data Science Intensive Training for Ph.D.s

Wed Feb 22 12:46:06 PST 2017

Hi All,
I’ve also been exploring data science in my off time. I started learning the basics of ML algos with a Udemy course, but have been supplementing that very general instruction with O’Reilly texts on data science using R, SQL, and others. I think a repo/forum/listserv would be a really great idea.

For information Kaggle.com<http://Kaggle.com> has been helpful.
For open data data.world also seems to be a good source.

Best,
Matt

Matthew T. Mccarthy
Ph.D. Candidate/Lecturer
PO Box: 413 Milwaukee, WI 53201
University of Wisconsin - Milwaukee

On Feb 22, 2017, at 2:10 PM, Lauri Goldkind <goldkind at fordham.edu<mailto:goldkind at fordham.edu>> wrote:

Hi Craig,

I am a CS DBMS dropout. I must admit I found the teaching style daunting as
a returning student (memorize SQL code cold).

The shared repository would be very welcome.

Best,
Lauri.

_________________________________________
Lauri Goldkind, PhD
Graduate School of Social Service
Fordham
http://www.laurigoldkind.net/

There is nothing in a caterpillar that tells you its going to be a butterfly.

--- Buckminster Fuller (1895-1983)

On Wed, Feb 22, 2017 at 3:10 AM, Craig Hamilton <Craig.Hamilton at bcu.ac.uk>
wrote:

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: https://urldefense.proofpoint.com/v2/url?u=http-3A__
partiallyderivative.com_news_2015_01_09_episode-2D9-2Dthe-
2Done-2Dthat-2Dwill-2Dtotally-2Dchange-2Dyour-2Dlife&d=DwIGaQ&c=
aqMfXOEvEJQh2iQMCb7Wy8l0sPnURkcqADc2guUW8IM&r=
Zm5R0WfUGSV1wBpvGCnQPiijPYegJoKsm7pYy73Uvps&m=AmPT-
BHXMJ387Lx8h5M5vPidprcokhRADNDIwbLVzXo&s=PqpfcFwEmLgmEZ_
appqqS20zqGsmnP2HUo3_Y9sdgqE&e= .

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 at gmail.com<mailto:j
fmarichal at 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

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