Breadcrumb

Drop-In & Hacky Hours

Drop-In Hours allow students to meet with GradQuant staff without an appointment, on a “first-come, first-served” basis. During GradQuant drop-in hours, students can ask our consultants questions regarding statistics or programming.

Hacky Hours (Fall, Winter, and Spring only; not available during Summer) is a collaboration between GradQuant and the UCR Library and is open to undergraduate & graduate students, faculty, postdocs, and staff. No appointment necessary. During Hacky Hours you can talk about Python, R, Git, Bash, OpenRefine, data management, cleaning, visualization, & analysis, as well as quantitative methods.

Hacky Hours and Drop-In Hours are held on Zoom. Click here to login to Zoom with your UCR NetID and/or download Zoom client.

Please note that Drop-In Hours may be canceled on days when the consultant must attend to other commitments. Please check the GradQuant calendar for the most up-to-date schedule.

 

Spring '24 Schedule

Drop-in Hours
Tuesdays, 1:00 pm - 3:00 pm; April 2nd to June 4th 

(open to UCR graduate students and postdocs)

  • Da Gong, GradQuant Lead Consultant - To start your Drop-in Hours session with Da, click here. 

Specialties: Causal inference (e.g., difference-in-differences, regression discontinuity design, and instrumental variable), math for statistics, statistical inference, probability theory, R, Python, Stata, web scraping, natural language processing, text analysis software, LaTeX, GitHub.

 
Hacky Hours
Wednesdays, 10:00 am to 12:00 pm; April 3rd to June 5th 
(open to all UCR students, faculty, and staff)
 
  • Da Gong, GradQuant Lead Consultant - To start your Hacky Hours session with Da, click here. 
Specialties: Causal inference (e.g., difference-in-differences, regression discontinuity design, and instrumental variable), math for statistics, statistical inference, probability theory, R, Python, Stata, web scraping, natural language processing, text analysis software, LaTeX, GitHub.
 
  • Kat Koziar, UCR Data Librarian -  To start your Hacky Hours session with Kat, click here.  [Kat will be unavailable for Hacky Hours on Apr 10th.]

Specialties: Python, R, Git, Bash, OpenRefine, data management, data cleaning, data visualization, and data analysis