Version Control and Collaboration with Git and GitHub (Online)

Register Here  
 
This course will be offered via Zoom, over two mornings. Attendance is required as the course will not be recorded.

In this course, participants will learn how to keep track of the code they use in their research using the version control system Git and the collaboration platform GitHub. Git allows you to keep track of changes to your code, easily revert to previous versions, and “tag” versions of code used in publications so that the exact code used can be retrieved at a later date. GitHub allows Git users to collaborate with each other on projects by managing simultaneous changes to the same files and allowing users to review and discuss each others’ code. Git and Github are applicable to any text-based programming or analysis language, including R, Python, Stata, Julia, and others.

Participants should create a github account at github.com and install git prior to the class. Windows users can download git at https://git-scm.com/download/win ; there are multiple installation options, the first link is fine. Mac users can install git by opening the terminal application (in Applications -> Utilities -> Terminal) and typing “git version” (no quotes) and pressing enter. If git is not installed, you will be prompted to install it.

Instructor: Matthew Wigginton Bhagat-Conway

Matthew Wigginton Bhagat-Conway is an Assistant Professor in the Department of City and Regional Planning and a consultant in the Odum Institute for Research in Social Science. His research interests are in travel behavior, urban transportation, and statistical methods for transportation data analysis. He is available to assist researchers with statistics and data analysis.

Dr. Bhagat-Conway has a PhD and MA in Geography from Arizona State University, and a BA in Geography from the University of California, Santa Barbara. Prior to graduate school, he was a software developer and project manager for Conveyal, a public transport planning consulting firm, and a fellow in the Data Science for Social Good fellowship at the University of Chicago.
 

Registration fees:

• UNC-CH Students: $0, with a $20 deposit to hold your spot (deposit is refundable upon your attendance for at least 66% of the course)
• UNC-CH Faculty/Staff/Postdoc/Resident/Visiting Scholar: $40
• Non UNC-CH: $40

Additional course information:

• Registration will close at 12:01am 6/17/2022. No late registrations will be accepted.
• Cancellation/ Refund Policy: A full refund will be given to those who cancel their registration no later than 10 days prior to the course. If you cancel within the 10 days prior to the class, no refund will be given. Please allow 30 days to receive your refund.
• Zoom link for this course will be sent prior to the course. Registration must be made at least 3 days prior to the course date to receive the Zoom link.

 
For questions regarding the status of this class, please contact Jill Stevens at jill_stevens@unc.edu