The RDS has once again partnered with the Scholarly Commons to offer Data/Python Open hours for the Spring 2016 semester. These drop-in hours are designed for anyone needing data management or technical help on a research project. All students, staff, and faculty are welcome to drop by (for free!) to get help with:
• Research data management
• Learning how to code
• Using Python and R for reproducible research
• Accessing large data files
• Cleaning data
• Web scraping
• And much more!
Please bring your computer and any data files you’re trying to work with. Drop-in hours are not designed to be homework help for programming or statistics courses.
Stop by anytime between 3-5pm on Tuesdays starting January 19 at the Scholarly Commons (Room 306 Main Library; near the Wright Street stairwell).
Questions? Contact Elizabeth (firstname.lastname@example.org) or the Scholarly Commons (email@example.com).
(Guest post by Elizabeth Wickes)