[ascct] Data Science Hackathon training offered

  • From: Kristie Sullivan <KSullivan@xxxxxxxx>
  • To: "ascct@xxxxxxxxxxxxx" <ascct@xxxxxxxxxxxxx>
  • Date: Fri, 14 Aug 2015 01:20:24 -0400

The NIH Big Data to Knowledge<https://datascience.nih.gov/bd2k> (BD2K) program
and the NIH Library<http://nihlibrary.nih.gov/> are pleased to join the Johns
Hopkins (JHU) Bloomberg School of Public Health Department of
Biostatistics<http://www.jhsph.edu/departments/biostatistics/> in announcing
the first JHU DaSH<https://regonline.com/jhudash> – Data Science Hackathon – on
September 21-23, 2015 in Baltimore.

The organizers– Drs. Brian Caffo, Leah Jager, Jeff Leek and Roger Peng –
include JHU professors who teach the popular Coursera Data Science
Specialization<https://www.coursera.org/specialization/jhudatascience/1>. This
Data Science Hackathon will provide an opportunity for hands-on training that
reinforces and builds on data management and analysis skills such as those
covered in the MOOC specialization (completion of the specialization is not a
prerequisite).

“This event will be an opportunity for data scientists and data
scientists-in-training to get together and hack on real-world problems
collaboratively and to learn from each other. The DaSH will feature data
scientists from government, academia, and industry presenting problems and
describing challenges in their respective areas. There will also be a number of
networking opportunities where attendees can get to know each other.”
--
Simply Statistics blog
post<http://simplystatistics.org/2015/07/28/announcing-the-jhu-data-science-hackathon-2015/>

Non-affiliates of NIH should apply directly through the JHU DaSH website at
https://regonline.com/jhudash.

NIH staff or trainees who would like to attend should complete the application
at https://www.surveymonkey.com/r/NIH-JHUDaSH (no later than Aug 14th) rather
than the one on the https://regonline.com/jhudash website. For questions,
contact Lisa Federer (lisa.federer@xxxxxxx<mailto:lisa.federer@xxxxxxx>) in the
NIH Library.

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