Data Analysis and Visualization Using R: an introductory R programming course available online 24-7 through Princeton Coursera to current Princeton University community members around the globe.
Sometimes you need an R programming lesson on a Tuesday at 12:00am, or 1:00pm on a Sunday. What to do? Princeton Quantitative and Computational Biology graduate students David Robinson and Neo Christopher Chung, in association with Princeton Online/Princeton University Coursera, have created a multi-lesson searchable course based on the successful introductory R programming workshops taught by both Robinson and Chung over the past two years for the McGraw Center for Teaching and Learning and the J Street Library and Media Center.
The course is currently only available to current Princeton University members with a NetID, and does not appear on the Princeton University Coursera webpage. Check out the course using the Princeton link, and login using your NetID and password.
Topic: New Faculty Tech Toolkit
Speakers: Ben Johnston, HRC/DHI Consulting, OIT; Jonathan Olmsted, Senior Research Specialist/Q-APS Consulting Coordinator (Politics); Audrey Welber, Humanities Reference Librarian, Firestone Library; Janet Temos, Director, Educational Technologies Center (ETC), McGraw Center for Teaching and Learning.
Time: Thursday, October 10, 12noon – 1pm
Location: HRC Classroom, Room 012, Lower Level, East Pyne
The New Faculty Tech Toolkit session is designed to allow new faculty, postdocs and graduate students to have an opportunity to receive brief overviews of a number of the technology resources on the Princeton campus, including the Humanities Resource Center (HRC), Digital Humanities Initiative (DHI) consulting, bibliographic tools supported by the University Library and the Subject-Specialist librarians who support disciplinary research, as well as quantitative, analytical and statistical computing consulting, and Blackboard in brief. Continue reading “The Productive Scholar: New Faculty Tech Toolkit”
R is the de facto standard for statistical analysis in a wide range of disciplines such as computational biology, finance, sociology, political science and digital humanities. This two-part workshop will help participants to get started with R’s abilities, ranging from data structure to visualization. Designed for students without any programming experience, this course will better prepare you for introductory statistics courses and quantitative research at Princeton.
Dates: 10/9 – Part 1: Introductory Workshop in Statistical Computing with R
11/13 – Part 2: Intermediate Workshop in Statistical Computing with R
Time: Wednesdays, 7pm – 9pm
Location: New Media Center (NMC), 1st Floor, Lewis Science Library
To Register for the workshop series, please fill out the registration form here. Or access the form via the QR code to the right. Limited space available.
Continue reading “NEW! Workshop Series: Statistical Computing with R”