PREDOC Asynchronous Courses

If you're interested in applying for Research Assistantships in quantitative social science fields, you'll likely need to know some basic coding in statistical programs. R and STATA are two of the most commonly used languages, and this course teaches you the basics of coding in them. No prior coding experience is necessary. Follow the video lectures at your own pace and test yourself with diagnostic quizzes as you go along.

PREDOC.org's free Data Science for Research Assistants course is back...this time in Python! Now anyone with a basic knowledge of statistics can translate that knowledge into practice using the coding language Python.

• Getting started is frictionless: just a browser and GitHub account!
• Comprehensive modules include knowledge-checks throughout.
• A Study Buddy assistant, tuned to answer like a teacher, is available on the platform for content-related questions.
  
  The course covers Python, Git version control, GitHub, and Jupyter Notebooks—all essential tools for Python coding and data science. Get started today at the link!

Agentic AI is an asynchronous course offered through PREDOC.org, moderated by Janani Sekar, Pre-Doctoral Fellow at the Center for Applied Artificial Intelligence at the University of Chicago Booth School of Business. The course equips participants with practical tools to design and implement capable agentic workflows for research, drawing on insights from CAAI staff and faculty.

The Graduate Record Examination (GRE) is a prerequisite to applying to many PhD programs in quantitative social science. A strong score on the quantitative section is an important component in any competitive application. This course starts with a diagnostic quiz that pinpoints areas where you might need some extra review. The course then links to modules on different topics so that you can review concepts you need a refresher on. The course also provides resources to help you plan out your strategy to organize your time and study effectively for the GRE.