EVENTSbyORISEvent management and registration system
Use this event registration system to register for upcoming conferences, classes, workshops, seminars, and other training activities sponsored by various departments and offices at UNC-Chapel Hill.
To begin your online registration, simply browse the event listings, select the event you wish to attend and complete the online registration form. Your registration will be confirmed by email.
To Inquire about becomming an Admin of your own events, contact Lori Saddler at lsaddler@unc.edu
For more information, contact the event administrator:
Jill Stevens
jill_stevens@unc.edu
Event Presenters
Name
Title
Ruy Manrique
PhD student at UNC’s Department of Sociology and a predoctoral trainee at the Carolina Population Center. He is also part of the team of graduate student consultants for the Odum Institute Stats Desk
This 5-hour (9/17/24 and 9/19/24; 12pm – 2:30pm each day) course will be offered online only. Attendance is required – this course will not be recorded.
This course introduces students to Stata and data management. It is tailored for beginners and researchers who want to learn how to manage data more effectively. Each day, the class will demonstrate how to use the commands, followed by hands-on exercises using sample datasets. By the end of the course, participants will be able to perform the following: • Use Stata’s Graphical User Interference (GUI) with dialog boxes • Run Stata commands from the command window and from scripts (“do” files) • Enter, transfer, and save data in different formats, e.g., Excel, SAS, SPSS, text files • Inspect the contents of a Stata dataset • Append, merge, and sort datasets • Identify and clean duplicate records • Calculate new variables • Create and manage labels for variables and values • Recode variables • Work with blocks of observations (“by” processing) • Perform row-wise calculations (groups of columns) • Collapse data into summary tables • Reshape between long and wide formats • Save and reproduce your work with “do” files • Obtain descriptive statistics • Create graphs and tables • Run basic statistical analyses, e.g., Ordinary Least Squares regression, correlation matrices, Chi-square tests, t-tests
