Benefits:
Students MUST bring a laptop to this cousre. Students without a laptop will not be eleigable to attend this course.

Audience:
Who Should Attend: Practitioners of epidemiology and statistical computing, with beginner to intermediate R skills, who wish to work analyses and graphics in the R language on IBM compatible PCs, Apple Macintosh, or other computers running Windows NT, XP, 7, 8 , 10, Mac OS, Linux or Unix.

Features:
Faculty: Giles L. Crane, MPH, Research Scientist and Statistician, has extensive experience in statistical computing on a wide variety of computers in the public and private sectors. Questions about the course: gilescrane@aya.yale.edu Guest presenter: Rees Morrison, Esq., expert consultant to general counsel on management issues, and an R user, who will present processing large files with package dplyr.

Required Materials:
Background: R is a free, open source software package in active development by members of universities, governments, and industry around the world. Books on R in many application areas are available. With R, the data professional can produce publication-quality graphics with great flexibility, as well as fit epidemiological and statistical models of cutting-edge interest. Concepts originated as the S language at Bell Laboratories. A commercial version exists as the language S plus. Yearly International Use R conferences have continued: at Aalborg in Denmark in 2015, and this year in June at Stanford. This course will focus on developing programs and applications in R with reference to public health, and will appear on the NJLMN List of Courses with Approved 6.0 CE hours. Participants may bring datasets for discussion and graphing. This is an opportunity to network with other data professionals in an informal and collegial setting.

Check for other dates/locations

Fee:	$45.00

Rutgers School of Public Health

300 Atrium Drive
Somerset, NJ 08873

Date	Day	Time	Location
11/09/2018	Friday	8:30 AM to 4 PM	Rutgers School of Public Health